{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "from __future__ import print_function\n",
    "import google.datalab.bigquery as bq\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BwMg+pmHQvEalxOLZpVg4qwQd7gBOtfvQ3h3A+e4Aal1mzK3QTul4NBoRgUBmi6eYzZaC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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f83200c15d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sql = \"\"\"\n",
    "SELECT\n",
    "  CAST(90.5 + RAND()*30 AS INT64) AS JITTER\n",
    "FROM\n",
    "  `bigquery-public-data.noaa_gsod.gsod2011`\n",
    "LIMIT\n",
    "  1000\n",
    "\"\"\"\n",
    "df = bq.Query(sql).execute().result().to_dataframe()\n",
    "sns.distplot(df['JITTER'], kde=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f831a8e1e90>"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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B7r77boqKirj99tupquqd2OTPf/4zt956K7fccgtr167lnXfe6etz4MABVq1aRXFxMT/6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\nD0Lx/W89hqpuAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f831a277a50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sql = \"\"\"\n",
    "SELECT\n",
    "  CAST(-LN(RAND()*0.99 + 0.01)*30 + 90.5 AS INT64) AS JITTER\n",
    "FROM\n",
    "  `bigquery-public-data.noaa_gsod.gsod2011`\n",
    "LIMIT\n",
    "  1000\n",
    "\"\"\"\n",
    "df = bq.Query(sql).execute().result().to_dataframe()\n",
    "sns.distplot(df['JITTER'], kde=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " CREATE TEMPORARY FUNCTION trunc_rand_normal(x FLOAT64, mu FLOAT64, sigma FLOAT64) RETURNS FLOAT64 LANGUAGE js AS \"     var u = 1 - Math.random();     var v = 1 - Math.random();     var f = Math.sqrt(-2 * Math.log(u)) * Math.cos(2*Math.PI*v);     f = f * sigma + mu;     if (f < 0)        return 0;     else        return f; \"; SELECT   trunc_rand_normal(TEMP, 90, 15) AS JITTER FROM   `bigquery-public-data.noaa_gsod.gsod2011` LIMIT   1000 \n"
     ]
    },
    {
     "data": {
      "image/png": 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/dz5qIZky+fy1lSM1Op0pvJ4uPN6CtPYRjzqx2Rz4rtD+s8+ls81k2s/Ea0yk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\nHYPYAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f831a35db10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "js = \"\"\"\n",
    "    var u = 1 - Math.random();\n",
    "    var v = 1 - Math.random();\n",
    "    var f = Math.sqrt(-2 * Math.log(u)) * Math.cos(2*Math.PI*v);\n",
    "    f = f * sigma + mu;\n",
    "    if (f < 0)\n",
    "       return 0;\n",
    "    else\n",
    "       return f;\n",
    "\"\"\".replace('\\n', ' ')\n",
    "sql = \"\"\"\n",
    "CREATE TEMPORARY FUNCTION trunc_rand_normal(x FLOAT64, mu FLOAT64, sigma FLOAT64)\n",
    "RETURNS FLOAT64\n",
    "LANGUAGE js AS \"{}\";\n",
    "SELECT\n",
    "  trunc_rand_normal(TEMP, 90, 15) AS JITTER\n",
    "FROM\n",
    "  `bigquery-public-data.noaa_gsod.gsod2011`\n",
    "LIMIT\n",
    "  1000\n",
    "\"\"\".format(js).replace('\\n', ' ')\n",
    "\n",
    "print(sql)\n",
    "df = bq.Query(sql).execute().result().to_dataframe()\n",
    "sns.distplot(df['JITTER'], kde=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "SELECT\n",
    "  pred, ontime, count(pred) as num_pred, count(ontime) as num_ontime\n",
    "FROM\n",
    "  flights2016.eval\n",
    "Group by pred, ontime\n",
    "\"\"\"\n",
    "df = bq.Query(sql).execute().result().to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pred</th>\n",
       "      <th>ontime</th>\n",
       "      <th>num_pred</th>\n",
       "      <th>num_ontime</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.99</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1778</td>\n",
       "      <td>1778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.54</td>\n",
       "      <td>1.0</td>\n",
       "      <td>13077</td>\n",
       "      <td>13077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.25</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5593</td>\n",
       "      <td>5593</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.63</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2220</td>\n",
       "      <td>2220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2612</td>\n",
       "      <td>2612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pred  ontime  num_pred  num_ontime\n",
       "0  0.99     0.0      1778        1778\n",
       "1  0.54     1.0     13077       13077\n",
       "2  0.25     1.0      5593        5593\n",
       "3  0.63     0.0      2220        2220\n",
       "4  0.41     0.0      2612        2612"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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zgTBPB4iIiEh4uTu9uDq9J9woKMBqNfBEezpAREREBkdTq3+PgOw+9ggA/0mCOkVQREQk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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe7b8098590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ontime = df[df['ontime'] > 0.5].sort_values(by='pred')\n",
    "ontime.plot(x='pred', y='num_pred');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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a3/nOd2QYhiSpqalJOTk5stlCu7vdbnm9XklSXV2d3G63JMlutys7O1snTpyQ1+vVoEGD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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe7b17b63d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "late = df[df['ontime'] < 0.5].sort_values(by='pred')\n",
    "late.plot(x='pred', y='num_pred');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "SELECT\n",
    "  pred, AVG(dep_delay) as dep_delay, AVG(distance) as distance\n",
    "FROM\n",
    "  flights2016.eval\n",
    "GROUP BY pred\n",
    "\"\"\"\n",
    "df = bq.Query(sql).execute().result().to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3V+n13ZEDYLIzkjQrN1Uzcvw6bopfucFkJs8BSBgEOCYVm2EokOZVIM074DnT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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe7b130c7d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.sort_values(by='pred').plot(x='pred', y='dep_delay');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "SELECT\n",
    "  pred, AVG(dep_delay) as dep_delay\n",
    "FROM\n",
    "  flights2016.eval\n",
    "WHERE (ontime > 0.5 and pred <= 0.5) or (ontime < 0.5 and pred > 0.5)\n",
    "GROUP BY pred\n",
    "\"\"\"\n",
    "df = bq.Query(sql).execute().result().to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pred</th>\n",
       "      <th>dep_delay</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.14</td>\n",
       "      <td>13.900901</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.58</td>\n",
       "      <td>8.469910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.98</td>\n",
       "      <td>-4.694699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.38</td>\n",
       "      <td>8.992415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.43</td>\n",
       "      <td>7.989959</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   pred  dep_delay\n",
       "0  0.14  13.900901\n",
       "1  0.58   8.469910\n",
       "2  0.98  -4.694699\n",
       "3  0.38   8.992415\n",
       "4  0.43   7.989959"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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klPCHNzczsncMM8dd0aRt1FmtVFTVUVFVy4nTpbzz5QHOlFXTMymMu67tSoCv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\nOoFYeR0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fe7b13026d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.sort_values(by='pred').plot(x='pred', y='dep_delay');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sql = \"\"\"\n",
    "SELECT\n",
    "  carrier, pred, AVG(dep_delay) as dep_delay\n",
    "FROM\n",
    "  flights2016.eval\n",
    "WHERE (ontime > 0.5 and pred <= 0.5) or (ontime < 0.5 and pred > 0.5)\n",
    "GROUP BY pred, carrier\n",
    "\"\"\"\n",
    "df = bq.Query(sql).execute().result().to_dataframe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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VZzKXUEnxoZYoIiLys3PILfDCwkJuuOEGwuEw4XCYX/ziF5xwwgl07dqV6dOn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\n/375foRfpjFBO4xuegOzGiTS//XXUygvVyq8Ab4SsRhjLCUlgi+BLTx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l51YqH+oCixjA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pwtMNCjz/keQw0dMw5x/dEjfFCQy35D4z23zT1vdHjYsoMH0L71KoLeTja0tGtP7T1DsCa3p2LR\ncmrGjHOcp57y7RVDbAt+MhSJn/07bTpWy7GeR9yFneqpJSIUf5FP5oALrx1fs2YlQ4bc7fidA+zZ\ns6vO83Y33m3bJjNt2o/ExcVf0L2a8e/CP96AA7zQ5SVa+bUGoLy2nPe2v9nk95CoJOjGRBD1RWta\nL0gk4c/2xG9JpujzfIyp3kN/kZFR5Obm1pHYGjfgCQlJHD3auAder9RWVORiwF2Y6Hvyd9GlQfi8\nHoIAEycaWbpUxubNTiObkZHA6dMarr/+APv3V7Nhg54FC/S8+vBV+Cbt4scf5XTr5kNu7hJksrsB\nUCoTSIhZwTThRSZIF3HnaadYxO7d52/AGyJeqeLjyFbc5R/kUGIDQCKh+vOv8Pl0ApKsTAKkMoa5\nhNyXWs0Y774H5eKFFz2HKwqCQNVnX2PuaBcuEiwW/B5/BM2nE5AWOPUJBJsN3zHP4jPp4ws2gK5k\nMmtiGwervB7ba6od1Qk2REbnZNE54xCHvFQBiP4BWDp3sc9NFFG5/F1q3nwH6h++BAHDk884hWJS\njyDf9scFzb+pYddTd+bCXfux+98TRMKu9mhudJL3jAf0ZPZNozbj/NMA69at4ejRdB5//BHS09PY\ns2cXTz89iuzshp633XjHxydcwDtqxr8R/woD7iP3YXxPJ0FmbtocduRtv+T3VUQrCXsjitxnsrCZ\nPHPv9X3B7SS2xkPoLVq0pLy8zE073RUZGekkJia5hNCD3Qz43gJ3AltDBAXB5MlGnn9eRWkpLFwo\nY8gQNSrVrQwbtgJ/fwgLE2ndWmTwNV0olx7jkU9mM336H+j1PvTocQ2rV9sNtEUIZkKaD21rv6TT\nVc64+fkQ2S4E1th49M+NxXfsc2Czcc3K5Y5j66oqGJeUQE1BHpKTJ7CIIqlGAxm1BgrMZrJrjYw6\neZwxuSeo9la0fiXDx4fKH3/Gpgv1OGTThWJxWcw1H3+A9uUxeC3MPwtkLnK+3ghsu/TVdPfxpYuP\nhjfDWvBnfDIPBeq8StyCexjdsa/HDZh63eq2TwwIxOiiGa+ecmmUFS8EwU84vfB6hL4aSdQ3rVFE\nK4mel0DYOy0Q5HU665VWTj50/LzIbVarlT11RL+0tBQef3w4Tz/9BFlZmW7j2rZtx9SpP5KQkHiR\n76oZ/yb8Kww4QJ/ofgyIdUpTTtj1wWW5b8ADwcjCFV5rxaOiWpKZeZzy8jJCQ8O8nG2HRCIhNja+\nUS88IyOd66/v6ZYDPx8DDnDzzVYGDrRw7bUwfrySBQsMdOzY2yMPrlX48uugxfx366sYfCaSlHQn\nc+YYGTNGRWq6jVFrHyHAJ570Gn/8or5znLdvn/SMduP336V06qRh5EiVa2WRBxqy611heGI0gr4G\n7djn6LpwgWO/r0SKHkj+7jtW/PkHD588xk3HU7jhWAodMv7i2mNHWFpVzpqqcnodT/HqNV7JsEW1\noGLGHGwBdpUz0423UDF9FiUHUilfuwnTjU5jqf5xOn4jHgLT+YkPSV2+e9ZEdyNhE0V2Gaq51kXy\nVhAEhgUGs7yqzK0qoB6mm3t77Kv57zsenj2A4fGnHK8Va1YiaeB5/l2Q+ssIfc1eqiqoBVpMi0U3\nJsKp0y8RCBkdRuulSQh1TWdMWbWcGpV1zm1K161b4xY6T0tLJSvLvSdBmzbNxrsZ3vGvMeAA7/T4\nH1LB/sS8NXcLewt2X/J7CoJA5KfRlM0qRr/XvatYmDyM7Uu3EhYcjlR6Zg+1sTy41Wrl+PGjdO9+\nfQMDbs/HlRlLya/Jd2sf2hjeeKOWhx6CtWtrSE62NVpO1i44mV8GzMdUs5rU6nC6dLHx2mu1DJry\nPLVmC1/0+pZq6Q1ofaYTHm5fvGtqBFJTvX+dLBYYM0ZFXp6EZcvkTJ/uXWDGarNywy/XklrSiDKd\nVErV59+gmj+X8BdfxqcuFFtstfBaaBTTrAJvtAhnfbWntK4NKLJauEqtYciJo0wv+Wd1nrJc243S\nPYcoTs2iYsFvmAbdBXI5otaXip/nYxzsbF2qXLUcny8/O6/ry9Ib98Azao0ESGWEyd3/bpFyBR1U\nPqytqvCcb5eu2Fzqw2sH3IGl67Ve721NSMR0i93gC6KIevqU85r7pUTwyFDitrQjcW8H/O/w5JgA\n9j7kX7Z2bNdsqqTgPU9SmjesXbvqjMftxnsmiRdRFdCMfy/+VQY82q81dyf8x7E9eZ9n96tLAXmY\nnIjxreyhdL2N2qNGckZnwcdmMkozCJV4hj8bws5EP+qx/+TJEwQHh9C6dYxD7CXEx+mB7yvYw1Wh\nnZFKzh7CVqvh7bchsG4dcpaTeYq6xGstBPtE8eSm//FHzmay4l9HHpmK7+r5yCRy4kLvR04BXbo4\nF+/GwuirVtVpqdfh00+VlJR4emJ7CnZToM/naFnjhD5rm7aUHD6Kpf8AkpVOQZcjRj0dr7kOuYvn\nqZVI0EllKFy8PqkgsCImiV/KS3jkVCYV1stTy9sUEP38EYODPQ8oFFR9MxX9E6Mdu9TffoVQfo6l\nAaKI1CWEbk1yN+A79dVcq/aUXQUYEhDMvPISzwNyOaaB9oiYqFK5Meq9wTDK6YWrfp6N0Eg66e+A\nqo0aWYj3h856+A8KRDfG2Vio5LtCyn/18rm4wGazOcLn3qBUKnn55ddISrqwmvxm/PvxrzLgAM9d\n7WzwsTprBWmlZxZIaSr43xGIupMPmX1TybozHWWiiutW3YSISEhlyFnPb6wWvD7/rdOFeg2h7zmH\n8PmZEBz8DPn5r2MyuYctKysXExZ0P9P7/cSjqx9kbfYqfh/xKyeO+jJ1qpzrInuyvhCS2jhJR999\nJ2fjRqmH5siMGfIG1xaYNKlBPTkwfXkqkl+WM39OkMcxV4gB9icQVwb7IaOeGRWlZIXZUxUBUil7\nEzpwpE0n5kc788THao3EKlWsiEkiQi6nb2YaqV7U3KyiyNSSQu7KSqfIcmlEVJoUEgk1b//PkROX\nVFag/u7rczpVKCxEUm6Pwti0vtgiIimxWKitC43v0lfTzSV87ooBvgHs0FdT7OUzqv5wApWTv6F8\nxTqsZwn/mm7pg6WOWS2pqkTp0ijlnwLdyxH43uYUJDo99gTZQ46S82Qmea+dpPCT0xgOOdM369ev\ndQufN0RtbS3jx39ASkrTC1Q149+Bf50BbxPUlttiBji2v9x39lCiKIpNoqUe8XErgp4IJWFXe3Qv\nRBARF4lcLifUpjsrO9XORG/MgLchJERHSUkxNpvNzYCfS/77TNBqe6HTvcyJE/ditToFKyorl+Dn\ndzc9om5g8Z3LWXjHMiIDg/nhBwOff65gw8oQ/jwVR2CQM9xZXi4wYYKS9u21PPecil27JKSnS9i6\n1bOpysyZco4dc3rGW7dK+O2dUdjSB7Dm64EcOnT2r2Z7F0nVrTVVfFrk5CGMCYkgUGa/b7zS2Qb1\nqMmIKIooJRLGR7RirC6CwdkZLK6TdgU4aKjhtsw0VlSW0ValZtiJY1T9E8hvMhn6l151bKqnfItQ\nemYvENwJbNbERNZXV9Ix4y86ZxyiyGJmp76abhrvBlwrlXKrrz9LKjy9fVHrS+2wB7F06HT2uUsk\nGB570jn3qd+59x7/B0CQCER9E4Oyjf37JppEajZVUrGojNLpRRRNyCNroLPcbO3aVWdN42RkpDFq\n1KPNRrwZXvGvM+AAz7t44YuOzudk5YlGx1ptVkaueZjYaVG8ue21i7qv1F9G0EM6pFp7KFkikRAR\nEUX0VTFULj+zVGRMTCynTp3E1IB8lJGRRmJiEkqlEh8fDeXlZQQqA6k0VWKymthXsNfRwOSDD97F\ncAFqVkFBj6PV9ubUqYex2UwYDLuRSDQolW0B6KDrRJgmHIDoaJEvvzTy8cdKTCX9SOx4EIXCvtCW\nlkqYPdvAhg01JCdbGT5czWefOT3tAQPM9OhhD1lbLALvvWevTd+/X8IDD6oQzU5DO3v2mUOWAB3U\nTg98c00VZXVGNraggMcKnTW7IVIZgXUcBL3NRp6LtzgkIJh50Ql8UJDLm3mn+G/eKYadOMbI4FAW\nt07kw/CWdFb7MPzUca9krSsNtXcOdjQikVRX4fPtV+4DbDbkmzYg27nDUXImdYn8WBPb8Gt5CWZR\npNhqYXZpEdU2KwkKz17w9Wg0jH6eMN53PzY/uwcryzyO5q3XkJxs/Ld7JUKqldJqVjyyMO/fX9Eg\nkv/GKaxWK7t3Nx4+r4dcLsfHx4d169Y09VSb8S/Av9KAdwm7hhui7H2XraKVbw580ejYOamzWJ75\nGwBTDn5Dob6wSecSGxtLu9vaU7n8zPlIpVJJVFQLj/IRuwG3L8g6nY6ioiKkEikBykB25e8gQBVI\nqE8oer2eyZMnsfICW1KGh3+IROJDXt6LVFYuxs/vLvdabBf07m1lx44aXr73evYbFSQlOef80UcK\nIiNFnnjCzPPPm1iyxOl9B9/4K0+/chJBsBuO1avthLahQ30w6N3z5wsXyqlx5wQCdptTUCBgsUCS\nUo23rPu7x7PxW7rIsS0IAvEuBuhorbvgRge1D+ti25JvMVNjs/JHfDJDA4IRBAFBEBgf0YogqYyn\ncrKwXunEN6mUmnHOB1H11O8czVCE6ir8RjxEwJC7CBzUF/9h9yDJPO5RQpbv8oDzp97OPm/suwBw\no8aXPIvZ43M9b2i1bt3ZfKZ8S9A1HfEfOhjFimV2NuQ/AIrWShJ2JBOzqg2tfo4n6svWhL4e6RB/\nqf69khWfLCUtzTtZUyaT0anTVTz++JMsXLiMNWs28fzzYy/jO2jGPwX/SgMO7rnwn1NnezXMpcYS\nPtjxjmNbRGRV1nKPcReD2bN/pdfIvpjzzZiyz9zRLDHRXdBFFEUyMjJIrCvrCQnROdTYdGodq7NW\n0LUufJ6XlwvAnDmzLmiegiAlKmo6RuNflJZOwc9v8FnP6RbRnZ+y8unXz/mANHu2gpkz7d6HXA42\nm33VimxdwU+GR1hmeIt773UuxK+9pqKszD5G62+iRQu7l1tVJXjtZ/7qq0o6dNAybJgahSghQenu\nGXZRa7i9azdUixaA3plvdB13zIuhCZTJmNoyls+iWhMsc7+vVBD4Oqo1VTYrL+edvOLZ66aBd2Jp\nmwyAoK/B5+vJSDOPEdC/t1vPccWG9QTddB3KZb859lmTkihwMeDptQa38jFvkAoCg/2DmH8OXvjm\n6ko+Ksht9Lj+uTGOuYOdla7YsB7/Rx/Af9g9/xgjLtFI8emiwbePPwH3BaN7IYLAh5xcmGXfL3b7\nHkmlUjp27MTIkaNYsOA31q7dzAcfTOC663qc8eGpGf+/0SQG/PXXX6dHjx4MGjTIsa+iooIRI0bQ\nr18/Ro4cSVXV5WWV3tTiFjrpOgNgtBqZ+penQMSHO96nrNbdM152/DePcRcDpVKJRCbBr38AlSvO\n7IU3zIPn5uag1WoJqCNtNSSyrc5e5TDgubm5dOlyDampRzy8+HOFVKqlVatfCQ5+DpWq7VnH+yn9\n0Wnb0PeO7dxxxzHH/jfeULJtm9SNvFbR4WNm9p/D2uxVPPhMOmp1AyOorOKXOacZPNip9z1jRglV\nVascZW6bNkmZMcMekt+8WcaSJe5SrADvhrfAetXVmK/pRuCtNyL76wDgngfPuABPUSmRMLNlHIeN\nel48fQLTeYTTV1eW89LpE5fP8Esk7l74D1MI6HuLW6lYfaMUobYWSbFTU8CckEShCwuxyGJplIHu\niiEBQSyoKMV2hvdoE0XeKchhWmkh5kbGiSEhlK3fQsUPP2G6pbdjnmDvXqb+4copMTtfhL4ehTRQ\nig0bh6r/QipI6dChIyNHjmLevCWsW7eFjz76hB49ejYb7WacE5rEgA8ePJjp06e77ZsyZQrdu3dn\nzZo1dOvWje+//74pbnXOEATBzQv/+sBkfkn9ybF9oHAfs1NmeJy3LXcLpcaLz+c1hN/AwLPmwRMS\n3GvB6wls9bCH0OsNeAgnK7MdBLbTp3OJiYnlnnuGMHfuT1wo5PJIwsLePvvAOl36N58AACAASURB\nVPSI7MkRfRTjxj1Hp072HLTFIvDAA2oyMuwBbqnSgCg30CP4dh7r8CSzcz5g9Ghnrl+msND/1Q8J\nCuzNPfecRiK1G5ADB1qwfftC8vLGYDbDf//rruc+aZKCziqncRnkF2D3FgWBqq+noB/zMv5DB6Oe\nPIkEmTMXf8x0YaFerVTKwuhEyqxW7jlx9JzY6Xv1Nbx4+gQbqytZV+1ZL12Po7VGVlc2XUtN0+0D\nMbfvCIBgMCCptN9bVKmo/Op7ytdsxHxVZ7dzRLWayqgW6F06+tmAUNnZ+QjJKh/8JFK266sbHbOi\nqhwZAjEKFbvOMK6+BK3i18WU7jqIcegDjkM+4z9A4iIjWw/lwnn43z0A5fy5Z53r3wVZkIzQ16Mo\noIBEEvlY+jErp63no48+oWfPm5qNdjPOG01iwLt27Yqfn3s7yN9//52777ZraN99992sX7++KW51\nXhgQO4j2IfZFzGKz8PzG0UzY9SFWm5VXt4xFrGsr1KdVX4chtIpWVmetbPSaFwqf67WYMo2YTzeu\nkNUwhG7PfzvLb+weuFMPXSlVkhzSAbB761FRLbj//oeZO/dnrJeJNX1DVE+WnCpCFLczdWoGOp19\n8dfrnYuRqss87vb/L6+8omJUx6fYcHIdAx5KoX9/MwkJVno8P4YxN08hKGg0bduOIa77Ece569dP\nxmDYz4wZcscDQT2OHZOi+SOMtpZ8gqtTeFfnrnZXe88QytZuRrF5I1e/8Ixj/8XkarVSKTNaxnK9\nj5b+mWkcNjau6pZlqmX4qWNMjopmYkQr/puf4yjNcoXBZuPRU8d5OjeLgqbq+y2RoH/5dbdd1qgW\nlC9bQ+2QYViuupryVRuomvAZNn+7wlvtwDspsHl+b46bzpz6qce9AUH8XOa9kZBNFJlYeJpXQiO5\n1defdV7EX7yeF92aqk8mO8vjqqs8WscqF83H76nHUGz7A7+nR6FcvMDbpa4IBD4YQkynOF7hFbpY\nulDw9rkJvjSjGd5wyXLgpaWlhITYcz46nY6y8+032QSQCBJ+HjDfYcQBPtkzntsW9mJfob1lplKq\n5IOeExgUd5djzLLjS5p+LgoJ2lv9qVzZuJcVH5/AsWNHsdUt8p4euHsIvaPuKhRSu2eZm5tDZGQU\n7dolEx4ezsaNl+eBqVtEd3YXHCQg6AWMxuuZNGkqcrl7ePSd56P44G0FBw5I2fVHEI93fIqvj4zn\nxx+NLFm5ghf6fEV4+PsEB48C4Na7TzrOXbw4lJwcCRMmOD3ouDinEfzqEzXl+14mKe8X3tr0FNYG\nBsjWoiUVC5YS2aUrijrjmG8xX1RZmEQQeDUsijfCorg3+yjz61jbrigxm7n/xFHG6iLp6xtAL19/\n2ihVfF/iycV4vyCHdko19weGMLHo9AXPqyFM/fpT2/c2++ueN1G2djOWTi5et1SK8ZGRlO49RNmK\ndVR98a1b/rseqbXnVtlwf0AIO/TVLHEpyavH0soyNBIpvbV+3Kr1Z/0ZohEeUCioHj/JsalaNB/5\n1i0AyP/YjO+zT7oN9332yXNriiKKyHf8iTTt8mhFAAhSgYiPnH0RqlZXULns8q+NzfiXQGwi5OTk\niAMHDnRsX3PNNW7Hr7322qa61Xmj0lgp9p3dV+QdPP69ueFNURRFMassy7FP/p5cLDOUNfk8in4r\nEvfdtO+MYyIjI8Xs7GxRFEWxR48e4qZNmxzHlixZIg4aNEgURVHcnL1Z/GHfD45j/fr1E5cvXy6K\noih+//334uDBg5t6+o2i29Ru4sasjaJef1w8cuR+8ZVXxop2vrgoRnQ65Bi3YIEodukiiuWGClE3\nQSfuP/61uH6Tn/jMAvfvyuasP0Sl7pTjGi1anHC8TkgQxfx8UfTzEx37Yh97TTSajWKvH3uJo5eP\nFm02m9d5Jq9aJbJxo8jGjeKuiooLe7NffSWK+/c7NndXVIjd9+4VQ7duFZ/LyBB3VVSIBotFvH7v\nXnHcsWNupx7T68XgP/4Qc4xGx75VxcViyz//FEtNJrHEZBJ1W7eKR6qrL2xu3mCzieLp0/b/zwE/\n5+c7PqP6fw+npJzz7fZXVoohW7eKeysrHfssNpvYZudOcU1JiSiKomi12cTQrVvFTL3+/N7L0KHO\nP3rbtqK4e7co+vo697n+8/cXxUOHzny977+3j5VKRXHv3vOby0UidUSquJGN4kY2ipsUm8TiFcWX\n9f7N+HfAk+bbRAgODqa4uJiQkBCKiooICjqzulY9ioouDdltRp9feEn+PL+kOfPDLX1bMTLpaYqK\nqtAQTCddZw4W7cdsMzNnzzyGJA07wxXPH7bOcqr2V5OXUopMJ0cURWq2VlGxoBRlogr/wUHExSWy\nY8c+1OpAjhxJIVgZSfrHx6laW4HwqIrc3NMUFVXR1qczbX06Oz6v7OwTaDRBFBVV0afPAMaNe5mU\nlEx0Dfo663S+Tf4ZXxvagxVH1pCseR2d7jueemo/FsULpB1pxdgxrSgqsrcdveEGMBh8WDpfYHzn\nNpzKfImVpdeREHa325yChQgkV0+HNfZcfE5OK8exd9/VI5FYeewxBZ9+as+JV68bS1mxiam9Z3HH\n4v68sfptXuw6joaICQ3nSF2eeU/acVrHnF9PZWlaKoEvvoi5+w1ULLCTHaMR+K1lApm1RhZWlHLf\n4SOUWiz0Cw5irK/O7X35AQ8HhPBcSjrftYihxGLh0eNpfNMiBku5Paz/TFAYL6Zm8FN0E/Z7lmmh\n+Aw5ZxccLfX8bhyoqDrn70wU8HFYS+786xCrY9sQKpOzoLwEPwSussgc1+ml8ePXE6cZGXx2meF6\nSF5/l8DlK5BUV0FqKvToQb3snzUiksrvZ+D3+HB7q9WKCqz9bqN81e/YIiI9L2azEfTBR/YyRKsV\nw5ffUD3h/PTjLwb+48IoWV+K+aQJ0SRy+O7DtJwRh++t/mc/+TLiUqwXzfCETud79kFe0GQhdLFB\nCLFXr14sWmSvxV28eDG9e3t2J7qckEvlfH7L14y7xs7OlQpSJtz4KT5yJ4t5UNydjtfLm5iNDvae\n4tpefpTPLaH4uwKO9ThC/n9PoUxSU3vUyPGbUgg/FsrBufvIWnAMwSBQ2i+fmh3ViFYR1W65Iwfe\nELm5uURFRQHg6+tH//4DmH+ZCD3XR/Vk22l7yDK3KoeH17/DxoitvPq2BAUvkZMzArO5AIkEXn01\nn6qqe2mrtfDiX2pmH9tN39b93a6nU+sQOs9GJnP/TvXpY6FPH3vo+4knTGi09lB64Ylgli2T4avw\nY+7AhcxJm82cFM9yOlcxkhPzfkaS79lBrlGIItq3XqPmjXeQZh1Htmun2+FYpYpxoZHsiE9mWUwS\ns9u2ReKFlPScLpwdNVXsqKlizOkTDPYP4gaN88c7IkhHWq2BrTV/z6LpLYSeUWs4r/r3Qf6B3BcQ\nzIhTx9HbbHxSlMcrukg3ktatWv8zkvq8wRYegf5lF7GlOuNt8/Wj4peFWK7rTsXPCxxNVKSnc/Ef\neg9ClWdzG/mmDUhPZju2FatWXFblN1mwjNaLE5G3sqeGRJPIqUePU7W26YiMzfj3o0kM+NixYxk6\ndChZWVncfPPNLFy4kFGjRvHnn3/Sr18/tm/fzqhRo5riVhcFQRAYd81r/DlsL9uG7aZ3dF+34wNd\n2pFuPPV7k8irNoT/HYEUfnwa40E9UZ+3Jm5TO0JGhxH1eWsS/+pIcu8OpO1LZe+XO4iPiidxT3ta\nTolF90IE8nUSioo8u2hVVlZgs9nwryMjATzwwMP8/POsy1K6dG3EdRwsPMCclFncuuBGro+8geWD\n15EUMZL4+B3I5a04fvw6ioomEht7AwUFbUhPW8397V+gfUgHwnzcyWeCIBDf0pduNzsfVmQyM++/\n7ySfBQbCtXc5jeikSQpsNgjThDNv4CLe3f5fcqvcCUKupWQp13bDf/DARqVGraLIc7nZtEk7wNyy\nYhS/r0WScwrD40+if24Mmk8/9npeeq2RN/JP8XpmJhYvn71GIuXt8BYMP3Wck+ZaXgt19w6VEglv\nhkXxTn7OGUuyLhW8GXCjKJJ9jkS2eozTRRAildM/M5UImZyeWneS601aP3bpq6nxQpo7EwyPPelW\nJy4qFFTO+gVrO/s+a4eOVP4wG7Gull+WegSfTyd6XEc9y70CRVqQj2zvpe9e6ApFSyWtlyQ1MOKZ\nVK5uNuLNODc0iQGfNGkSW7du5fDhw2zatIl77rkHf39/Zs6cyZo1a5gxY4YHS/3vRHxgArEBniHK\n2IB42gW3B6DWWsu6E00vX+g7IIA26Z1o8W0MPt3cFa4kKgkdB3cmLzKPyuF62vXsgDTAvhD5dNei\nqFIgQUJ1g05N9d6367W6deuO1Wo9Y7ejpoJWrqV9SAem/PUNvw5czItdxyGT2OctkWgIC3uH1q1X\nYjQeIizsTRISPmTCBA2jOz7PLwO8M4Zj/WO59u4dSKV2I3b//Z8RG+u+2Bd2fA21xm5w0tOl/Pab\n/Z6xAfEMTriXn1J/dBvvKuaS3rIFpv4D8R9+Pxg9Wek/lBYxt7yEUquVt/JzUL39BjXvfQhyOcah\nDyBNS0W2f6/HeS/lneCPmiom5eTwfUmB1/fW08eXeIWKvlp/Dhr1VDcg1N3hF4hcEFjohQx2qVHo\nYsBd82vnSmSrh0QQ+CqqNSEyOa+FRXkc95NKuUqtOf9Ig0xG1WdfUq3RYFSpqPxmKubre7oNMd/c\nyy0crp7+PZI8JzlQkp+HYo1npYlyZdOKOJ0LFC0UdiMeXWfEzSKnhh+n8OPTiNYrWzCoGX8//rVK\nbBcK1zB6U4u6gN27lGgab/2ZkJDI0aPppKenkZTk7AEsSAT8/xNEkCLYI4yem3uKqKgWHvcZOvQB\n5s27PGH0GbfNYe29m+mg8964QqVqS8uWs/D3v5e+fa0olbBypRytwnvuJ9Y/Dkn0nyxbpmf2bD2P\nPTYZs9mpi32k+DBlwjH+c48z7Pnhh0pq6xzFh5NH8HPqbCw2p3KXq5xqlqmW8tffwhoege/zT7mF\nT3PNJj4sdKqFldus7LzuOky96yI2SiX6Z1/A59MJbnM+bTaxS+/Uf51QeNrDc62xWbnnRAa7DTV8\nVpzPwKx04tIO0P3oYV7MzabIYkYQBN4Jb8GHhbns1ldfVuU3Vw+8q4sCW5qXjm1ng1YqZWHrxEaV\n3Ppoz72czBXFna4iad48EufNo3TAHV7HGB94GHMd414wGt28cNXPsxHqHppsAc6olXLFUoc+/OWE\nooWCGBcjjghFk/LI/k8G5vzGy06b0YxmA94Ag2Kd5WS/n1xLWmnqZV1AQ0PDMJst7Ny53a2EDCDg\n3mD8DX4U5buXItk9cHcDDnDHHXezcuWyy1ITrvOx16WfCwQBXn65lokTFW5px+JigQ0bpNTW2r3o\nrIrjdO1qo18/K2p1e4xGZ0emuWk/0T/yftavk+PjY//7nDghcci4tgtOpoVvS9Zmr3aco5VKiawT\nJTGLIictZqq+/A5pTg6aj953jHst7yQ1DfKhy0aOsk+8DsYHhiM7eADZoYOOfSsbCLEYRNFNgU0U\nRcbkniC1QR26iL3Wek55CeML7Z5iNx8tzwSH83xuNtcePcz4wtNeJWCbGq516H20TkJV2iW4962+\n/qyvqjjv39e6qgo6hkUQ06IFOxsThBEEtx7kqjk/IsnKBKsV1U/OyEz1ux86c+bZWUhTjnhc6nJA\nHqUgZnkbNDc4H2j126o5fksqVRvO/JBjKTJjKfoHtLxtRpOj2YA3QGJQEomBds/XYDFw49xuJM+M\nZ+Sah5l+6HsK9N7Dok0FQRBISEgkNTWFxMQkt2PKBBXBPsGc2uLeoen0aXsNeEPExMQSHh7Bzp3b\nL+mcLwS9e1vRaGDCBAVvvaXkllt86NZNw9tvK3nwQTWRyjgyy487xqtUHTAaDwFgspqYnz6PdRNH\nMnq0iddec3q5kyYpqWttzfDkEfx4xF0h0K21aK0RVCoqZs1FsXQxqtkzWVlZzmovXuF6ZQM1MpUK\nw+hn3Ty7ZZWe9bxbaqr4tS4U/l1JIYtdxvTR+tFGqXL7Ea5zMWgjg0PZFp/MtJax1Fit3JWdzoC6\nNqeXoqmKwWajoi4nLQF6uLQQTTvPEPq5IF6hRC4IpJzntVdWlnO7bwB9AgPZcoYQvPnmXpjqwuuC\nxYLm4w9QbFyPNOcUALagIGoH34vpVicXRnmBzYCaAvIwOdHzE9C9HOFYma0lFk4OPUbJ997XnfK5\nJWR0PkRGl0NUn8XQN+Pfh2YD7gX3tXnAbbvYUMSy40t47Y9xdJ7VlsfWDGdr7pZL5pknJibh6+tH\neHiEx7HwpEhObXA34Lm5uUSGR1EyvRDDX+7KYIMG3cmyZUuw1Vgp/raAA70OIJr//tyaIMBbb9Wy\nZ4+UgACRCROMpKdXs3GjnogIkfdfbM+x8uOOz1ilcnrgS9NWU5vTlv/0as0TT5h59FEzLVvaPeby\ncoHPP7dHAgbF3cVfRQfIrshy3DfBiya6GBxM5S8LsE6exBspBxzH7921G2ld9OKAUe8hnWp4eATy\nXTuQphyh0GJmR503KAEeCnMS897KP8WSilLeK3CS6oYHhvBzdAJb4pPJbNuZgLp2p/kWs5u3KwgC\nndQa3o9oyYHEjjwRHMYXxfn0OHaEGaVF6JuQOe2a/w6RyWjr0m/9eK3Rq4rcxUAQBIcXXg+rKLKm\nqpxtjRhmg83GlppK+voG0DswkC01ngxzlxu4eeHKxQvQfPCeY9t43wOgVGK63dnDQbni7zPgYBd6\nCX0pktYLE5GFOlkI+W/mUPjJabc1p2RaIbnPZSOaRESjSM7T2ZjzmkPu/5/QbMC94MmOTzPxps+5\nrfXtBCgD3I5ZbBaWHl/M4N8G0uOXLiw6Or/J75+QkERiYpJXbeTILi3IS8nFWu0Mi+fm5qBaLqdi\nXgmnHjlOZv80yueWYDPYuP2WQSz9dTFpXf/CsLcGU76Jmh1XRl1n9+5WFiwwMGaMiWuusSGTgUwG\nn39u5Oo2gRhqpGTk2lniKlUHDIbDrFwp47Vff+EqHuaVV+yLlUJhfxiox7Rpck6eFFDL1NybNIyf\nUn6kpmYLev1Otzy4qya6NTael3/6mVxfewhTJ8L4G3rR1ceptb6xuoGx8PFB/+Qz+Hw+kZWV5dQv\nrdf5aPk2MZFWcntOs9xqZVROFvV/sS5qDf8Ld6px+Ugk3Khxkjw97lMHmSBwh38gq2PaMDkymg3V\nFXTNOMRreSfZq6+56AdK1/x3pEyBRiIluu49WIGjF6ghfyb08bWXk5VaLHxVnE+3o4f5uPA0T+Vk\nYfDywLCpupJOag1BMhnX+Ppy0lRL8Rk06S3XdKO2n71MURBFZEcOOY4ZH34EAFPvWxGV9oc+Wcph\ne6j9b4bmel/iNrZDfY3z+1c0IY+Cd3IRRZGiT/PIf/2U2znWEgs5o7OayW//j9BswL1ALpUzPHkE\ns26fS9qIbDbdt52Pek6kW0R3t3HHy4/x5LqR/H5ibZPev3fvWxk+fITXY2GtwqkOq3HrL37y8AmC\n8gOJXphIwu726F4Mp+K3UjKuPoTtPgP+0gBK36+k5bRYQoeFUrX2yg61SSTw4Ye1hEjiuf+ZU/z2\nm4wxY5Kpri5k6rw0zOHb+fGVAY6UtMVSQv/+J2jTxm4iTSaBDz+0L8gPt3uUn9Nmcfr0WAoK3nTz\nwF010ffpa5hmdXov77eMwTchkd7+TgGiDV4Mq+HRx1D8sZnlLi0yB/kFopFKmRgZ7TE+RCrjh5ax\nKCXuP72bXcqsNjViwOshCALXaXyZ3SqeFbFtCJbKeCY3i+uOHWFC4ekL1lN3NeBhcnvKwNULvxAi\n29nQw8eXFKOBbkcPk2Y0MKVFLBvi2nGV2ofZZZ6aByur7OFzALlEQg+N71mZ7DWvvunW1QzAdMON\nWOPs+uqi1hfTTbc4jv0dbHRvkOnktJ6XgOYmZ1685NsCMvukUjjeyapXtlU5VnL9tmqKPvds9tKM\nfyeaDfhZIBEktAtOZmSHJ1h29xo237eDEe0fRyt3/qg+3etZZ3oxaNu2HUOHPuD1mE6no1JXRcU8\ne161eGoBBZX5dPmpO1KtFEEq4Ns3gOhfEohd3YbYtW0Z/MS9rDm4CoDgQcFUr2mcOGTON5H9nwxs\nhssnauENggA3tI3h6r7p/PijnKuvBq22LTc98R4jOj+Mn8qZn83PH0dOziNMnOg0yIsWydm/X0J8\nYAL9oyKpMlVhMp2kFU6d9WO1RkRRRG+z8WxutsODvkXrx91+9hauvV2IXJuqKzxzz1otpx5/im0u\nxu92vwDHdYa4PADIgOktY4mQK2iIm1088B36Kq/epzfEKJS8FBrJn/HJfNcihnyzmf+cyPAoTTsX\nuLYRre9A1kbpYsAvAZFNJZHwa3QC2xOS+apFDFfXRTzG6SL5srjA7XOwiCLrqsq5zdcZFeup8WVL\n9ZkNuDW5PbV3/8dtn/HhR922a13Y7MoVS92OzS0vIeMScADOBRKNlFY/xeN7u/M9Gw8556K50ZeY\nFW3QjXGm24omnqZm+5URZWvGpUWzAT9PtA1ux/gbJ7F12C7kEvsitzt/JzvyvBPFrDYrNrHpjKFO\nF0q5pBzjET3F3xRwbHIaPn4a/Fp6SjAqopUoWikZNOguli9fiiiKaDtpsZlsmI56X4zL55VSs7WK\n0pneFd8uJ2ID4oi5OoNFiwyMHGlG6ZNAZskaHuvwhGOM2ZxPVdV6LJYC2rffwlVXOQ3XqFFqliyR\ncU+kirWFPgQGPoyicgbaOu+3wmalyGrhfwU5jvCwRiJhQkQrR/qivUpNaJ0oSKnVygGDZ/exxUOG\nYK27Zle1xs1AvxfeknZKNQpBYGJkNN3rVdcaPAi0UCgcSnFGUXTk088VgiDQWa1hUmQrrvXRMjo3\n67yFYFyJamEyTw889SweeLXVyilT7XmH8q/x0RLSoGVpB7UPV6s1zHLxwrfXVNFSrqSFwvn53qjx\nO3MevA41r7zhEHexhoZR65L3BjD17Y9Yx0OQ79nlaFkqiiIfFOQyuejv82olSgktp8XiP8Rdjtq3\nfwCtfopHqpWiGxOBT/e6h1ob5DyZhaXU4uVqzfg3odmAXyAitVFuWulf7fPUUZ6X/gvRU8Jo80Nr\nHlsznDkpszzUwc4XOl0oRSWF+A0KpGjSaSTvKYhq4VlC5oqkpDZoNBr279+LIAj43urvNYwuiiLl\nv5YQMaEVxV/mY626PC1JG0OsfxyZFU4m+r7SKq4PjSBS62Tcl5XNwN9/MDrdSxQVfcIXXxgAZ1nZ\nqFFqnn/0R2b+dgslYk8qK+cT72IAppcUMq3UaSTeD29JtMJZDicIAr1cvPDfvch/Lrc6PddBdZ57\nPYJkMjbEteVYm6t4INDenU+amkJQ53ZoX3wGocwp1uIaRt94njKjrvP9KLwlJRYLnxSdh1QscNDl\n4STMqwfeuAE/ZarlpuMpdDl62O3zvBi8pIvgy+J8B1FvZVW5I7pRjySlCqNoO6tSnC0mloo58zE8\n8DCVc+bZiRMuEIODMXe/3rGtmjUDoaiIwwY9EmBNVQXl1r/PIAoygagvWhMyJhxZhJzgJ0JpOT0W\niUriON7i2xikQfaHEEuemdzRWVcEYbUZlw7NBvwi8PRVzyNg99TWnlhNakmK49ihooOM2fgsJpuJ\n8tpylh5fzIubnqHz7HbcNLc7Bwv3X9A9dTodRUVF6MZFErOiDcWqEocG+pkwcOCdLFtmF6bx7Rfg\n1YAb9unBKhL4UAjam/0aLV25XIgLiHcYcJPVxNxjO0j2d+awbTYTZWUzCAoahb//UGpr04mO3kO/\nfhY3HfUTJ9pQ+vMUbunZkY8m/oDstFNs5bNip2fVz9efBwKCPebR28WwbmhgWCusFrdSpoE2zwVT\nIgio6jx02b49BPznDvQvvQpKJYE9u6FcOA9EkVtc7rP5LHnwM0EhkfBDyzh+LitmhZfStsaQ5WIE\n6w14nELpUGQ7ZTZ5bcNqEUWeys3ilNnOIfimJL9JKjQ6qH3oqtYyq7QIURRZVenMf9dDEAR6avz4\nw8vnVW21uqUSzLf0pvqzr9xbqrqgdoDTK9dM/IiQ5DiubxfHzpEj2Pjaa5gefwTtay/h8/EHKH/5\nCWpqvF7nUkGQCIS9GkXSwY6Ev98SQeae15dHKoj6orVju3pDJafHnrisOhbNuLxoNuAXgfjABPrH\nDHRsf7X/cwCqTVU8vvYRTDbvJR2ppUd468/XL+iefn7+mEy1WPwsqNqovaqwecOgQXexbNlviKKI\n5gZfjEf0HiG28rnFBNwXjCAIhI6LpHRa4d8ahov1jyOrIhNRFPnt2CKkiiSkthOIon1RrqpailKZ\niErVDolEQUjIcxQVfcqECbVIpaBQWFCrncbVVt6CVcvuZs8iTxndEKmMSZHRXpn/N2r8HD+U/Qa9\nG+t5TVWFoxf41UXFJM2Y7nF+PeTb/sD/wSFUffolxgeHUz1+EpUz5+Dz5ef433c315eUoqi7f2qt\nkTzzhZcEhcnlzGgVx0unTzrIZzU2K6lGA2uryjnZwGMttJipctEl9zHKMZnsDwOutfODnh3FL7/8\nRHV1tb0ZjMnEJ4Wn3RTocs1m0psoXz4uNIKvSvLZrq9GLZGQ6DKXetyo8fWoB6+xWbkrO4POGYd4\nOz+HHNPZP0vT7YMQG3jmSr2elhkZXP3nNpKXL0U9fQqaSR/j9/xofF8de3Fv7hLAt28AIS+GO7bL\n55ZQ8H7uGc5oxj8ZzQb8IvHs1S84Xi8+toBTVSd59Y+XHJ6jj0zD3IELeafHB9zcspfDY99x+k+K\n9OcfahQEgZAQHcXF9nMbU2FriHbtkpHJpOzfvx+JSoLmel+qf3d6kzajjcqlZfjfa/dAFTFK/AYF\nUvzl35f781P6o5apKNQX8N3BrxnR4QWk0hBMJnuZT0nJ9wQFOfPhgYHDYi3ARgAAIABJREFUMRh2\nEhiYwl9/VXPo0EyWLn2QsWNr8fNz8UJO+jS8FQPSYwmwyT32AwTKZHRR28lVIu4s8eUuHu6AiCjU\nM6cheCFVKdauwu/x4VROmYmpn7P7mqXrtZSt24zphpuIGtiXbi7TvBgvHKCzWsO74S24IzuddmkH\naZt2kMdOZTKtpIi+malMLsrDVBeeXl9Vgdzl4WVY3wA6d9ZQUiLQ1iWMft2wB1m5chmdO7flle5d\n2PTpeLcoRj28pRouBMkqH7qoNYw4dZyeGl+vD1g9NX5sraly5Pxtosizudm0UarYENcWEZHemSk8\nmZPJnzVVHDHqSTEaSDEaSDM6O63ZIiKpnDmH2oF3Ym7fEavWuwRsPZSLFyBUXHmNR0JfjSTgAWck\nqeSrAoq//Xujac24NGg24BeJLmHXcH2kXe3JYrPw0MqhzEv/xXF84k2f0avVrYy+6lnmDVriKEUT\nEVmbveqC7qnThVJUZJdTbUyFrSEEQWDQoLtYsMDePKRhGL1qdTmqDj4oWjg9EN3YCMp/Lv5b9Zhj\n/OOYnTITg0VP7+i+DkEXg+EAFstpfH2dxlAi8SEo6CmKiz8lMBDKyqYSEzOMV14xceRINUuW6Hnp\npVraahssuqvC+fHxSHr00DBnjhy9J0+N3r7OPPiG6krSjQZezzvJ7y5GdkDreEw9b0I1a6Z9hygi\n27UT7djn8X3xWSp+mof5hhs9Ly6XY3juRWr+N57b5zj71TdWD14Pk83GLn2117B2PYYEBLMipg0b\n4tqS3bYz2xKSmdc6gTWxbdmpr6ZXZirba6pYWVmGySXUai5UUFQkYflyGW1ciGyS+Dhmz/6VneNe\n50iAP6Ou7+5g79eL0dR/Rk2FMquVUquVWWXFPJmTyV8NiIQtFAr8pVKO1EUaJhTlUWgxMykympYK\nJe+Ft2R3Qgc6qjS8nZ/D6JwsnsrJ5MmcTO49cZQJhc6SLFOfflT+MJvyDVuZtu8Q967fQNmajVTM\nmcfC8ROYNe5lLDGxAAgmk70N6RUGQRCInBiN723O72zB2zmUz/Peea8Z/1w0G/AmgKsXnlLi1Ou+\nL+l+7k0a6jbWNeS+MuvCVJ/q8+Bw7h442FXZ5s+fb2ej9/GnelMlNlOdgtncEgKGuud/5eEKAu4P\noejTv88Lj/WP44t9n/Jkp2eQCBJUqmSMxkOUlk4hMHAkgiBzGx8U9BjV1euoqFiCxZKHr+9tACiV\n0KOHlZdfNrF6mkCwWEcey1PCV/aQ+smTEl58UUWHDlrGjVNy8KD952GxQEKpM/e6qLyUnsdTmFZa\n5Aift1epiVWq0D87BvV3X8H77xN4XWd8XxiNtVUryn7/A8vVXc/4Xmvvuofrb+rj2N5cU9kok1wU\nRR48eZyBWekMO3n0jIzzBKWKcLnCrT95tELJnFbxvBoayVM5WWyqrnQYYmm1DCz2956dLXEjsk0r\nLeLmY0f4vqaC/PHjKQ+yM6NDBAnzoxMc43bqq8+plE0URY7XGh2RgIYw1D2kANiARRVl9MlM5Z7s\nDNaVOgmA9Wz0heWlLCgvYUbLOLdaez+plNEhYayLa8vm+GQ2xyezJT6ZpTFJzCor9jrXddWVdGsR\njaVzF0y33kbbh0fy3MCBVDw43DFGtajphZyaAoJMoMX3sfhc54wi5L6QjX7n+VU3NOPKRrMBbwLc\n0rIPycEd3PbFByTw0Y2feIztHzPA8XpLzqYL6jnu7oHnnpMHDtChQydsNhuHD/+FPEyOMlaJfmc1\n5nwThn01+N0eSEFBAY888oCD+BLybDiVS0upzbz0jTS8IdY/Dq1C63gQUqk6UFOzhcrK5QQGDvcY\nL5X6Exg4gtzcx+sMvGfnN7U8jKnaFTwk7CB47zd0bQeBgU4DWFUl8OOPCm69VUOXLhpiY7WMvFEH\npfYQu61BFDdWoeTjiFaAvR+16faBUFBA1bfTKNu2B8PzY7F5kcX1hsS+/dHVGZNSq5W/jF7CAcDy\nynI21ZVP7dLXeC1vOxsEQWCgXyBb45N530UZTix2svCzsgSuVmsc3bsAUmqNfNb3VrJdqh+m//gj\nnRQq2tUZe5MonlOr0LcLcuh+7Ah9M9O89k8/WmvEm2n/o6aKvn/9xZI6nfmeWl9+LivhzfxTzGoV\nj04mp9RiOStzPEahpLtGy9xyd+/UKopsrK5w0wHQyeTcpPVj3i29HPvkf2xGKPr7Sy69QaKW0Gp2\nHMq2dQ9gFsh9MRub8e/VeGhG06HZgDcBBEFw88KVUiXf952BVu6ZQ2vtH+PWc3zDyfXnfb96A26x\nWCgsLCAiIpLK2gpWZC6jUF/Y6Hn2FqNDWbx4IQDavvYwesX8UnwHBCDxkbBw4TxWrlxGVpY9hy8L\nkqEbE0HOyEw3+dbLhdtiBvDxjZ+iltkXIaWyPQbDLvz8BiKTeTLGAYKDR6NQxBEY+HCj1+2su4dR\n8h8wBi2hoMzAu+8aefPNWmJi3Be3U6ckGI0CiAJsC3EesEIfRQDzoxP4Mz6Za1xaZlaPnwRffWX3\nuL3kbM8EiSBwY5DOsb3lWLrHGIso8lGhOzFpbdWF52K1UilRLuQtW5Hz9dFMK2FyObpvv6OzIEWO\n5/t5MlDHbWnpqL+eTC83xv6Zw+ilFgvT60rOUmoNHDB4srpdG510VWsY7B+I6yPZzLrzb/Dx5ZS5\nls+jommnUrOjppr26QfpmP4XRxp5CKrH6OAwvispcHuA2G+oIUwmd6s5B3goMIRv1HJM3eypMMFq\nRblsyRmv/3dC6i8j+ud4JFr7Um86VkvRJ+dXXtiMKxfNBryJcGfcYIYkDSNK24Kve0+hQ0jHRsfe\n7hZGP3/ZRp3OTmIrKMgnKCgYhULBQ6uG8ujqB7hjcT+Mlsa95fvuu4/ffluEKIr49vWnek0F5b+W\nEHCf3TgtWPAr0dGt2bZtq+OcoMdDUV+tIWdUJqLl8paktA1ux6A4Z4tXhSIGqVRHUNCoRs+RyUKI\nj9+BTBbS6BgfnxuQSVQMjWnNYx+s5L33lAwYYGbHjhqWLNHzn/+YUamc71UTXE7QnxUIi4JgagwM\n7Y7k3fZ2hvp5Gumzwa2cLC0F6fGjbsfnlZdwrAGLfM1Fksbc5FdLnEYrK1vAYrFSsXwZv8W2IbOo\njN++/oZRgTo6K9VIV6zgVV04Vd9Mxee7r+mb50y3bKg+c6vQxRWljhQE4DXa4Coec7PWj+9axLIl\nPtmxcG3XV3PabCJQJiMlqRN968rMPivOw4JdFOeHs9Sld/XREi6Xu7WDXV9VQR9fT3GknhpfKq1W\njruUnKkWLzjj9f9uyKMUhL3tjJYUf53v0fSoGf9MNBvwi8DkyZNIS0sFQCqR8lXv79n/cAp3xN99\nxvP6xzoN+PoTazFZz48kFhKio6iosC7/HUVm+TG2n94GQGbFcWanzGj03A4dOqBWq9m7dzeq9mps\nJhuiScSnm4bU1BRKS0t47rkxbNv2h+McQRCIGN8K0SyS98Ypj0XZWm6haHLeZVkUBEFCYuJh1Oqr\nLvI6AiEhY7kjvJJ0ljN2rInHH1dTW2vPlX/zjZGpa9fi90wv+n0znKdnTWTiZxmMiE75P/bOOzCK\nsmv7v9me3nsnCST03ptKld57x4IgRUBFBAFRERVF4FHsnd5Beu9NekslPSG97W6y2Z3vjw1bSEJT\nX97n/XL9lZm5557Z2c2c+5xznevAH0GQpWTfPhlr18oefbEnRAcLWdXTkRFcmf82kjQj0UprMPBJ\nZmqFc25oNY9VKlUVLHXQyTaH0Mu0Ss5fjsPFxRWVSoXnF5/R8fkuLPYNZG9YbfzWbyA9KQmDnz+F\nSz6l07TJJqW7RF1phYWGJdY9ELa+rqkoFGNpwO+rwoUrVbQpV7QTga35xkoA+3ISXYqu1KpSYF9h\n/iNV6V5z87aqXz9QVGDVD/0+JILAKBd3VrRpZVZuO3saScrfE2j6t+Eyyh3bNuVRIj2kTrtbLfLy\nfwDVBvwpoVarWb9+LStXfvHE59Z1q0egg7HRRUFpPidTjj/iDGsYQ+iZ5Qx0f/Y8wGZf/tcyNGWV\nq2YJgkDfvgPYunUTgiDgPMAV1wkeCILAxo3r6N9/EG3atOPUqRNWhlqQCwR8H4r6dCE53xjD9IYS\nA1lfZRDd+gbaq2oShkaj/uvfF7eQSGwePegx4OjYBye5hNScHYwZqyUszEC/frbcuWP8t/gmagmL\nBw/m14ErmdXsbXqF9mHRiC7Ytv3ONMfcuSqSkv5ZD9xLLqdFeUi+TBDo/eab3HprBkJuDj/nZpJS\n7i27S2WmcQD7ip4+jG5lwHOsw8ar/9xHYGAQsrNnkCYnU9J3gOlYaGgYseURgtJefZE5OtExzxwN\neFD45j5uazVcfsDjrtQDtwih17Yg0w2w0Jjfkp9jdc66vGwsTVNGme6RHIGuDk7k6fWcVReTodOR\nqCuhqW3lZWQjXNzZqJCR1bqtaZ9y6+aHzv+sIUgEfD8LQrAx/la1NzRkraxuevLfjmoD/pRYtWo5\n0dF32Lt3N3fu3HqicwVBsCKzPWkY/X4O/L4HvifeupTlnjqDX278UOX5ffsOYNu2Lej1ejzf9cPt\nFS8MBgObNq1n0KChhITUQBAEUx78PqSOUgJ/DyNrVQYZH6QQ0+YGxScLCd5ck4DvQ/FbHkziyBjU\nF/47mK6CIMXH8y2GBOi4lHmBr77SMmSIjr59bXjjsyvE5cUyIHywabxeX0hyYi/mzTqMg4/x5VdU\nJDB9uop/uFU2y32DTBrsRTIZPWdM5+q7b/LFPXP+coaHD30tpFv3FT59GN3aA7c24EfOJxAQGIjt\nl5+hfn26sedrOcLDaxIdXR7iL++/3WPTJtPxg4XWeXD5oQPYvTObdXlZFe7hdonGKqSeXVZmui8b\nQSDYQuK2h6OzSfTmilZNbLlwjEEU+SO34tx7H8ERkAoCr7h58Z/sdA4V5dPBztGqLt4S7jI5n/oE\n8XFbs/Sq8oEwukEUn6qhzL8JZQ0Vnm+ZCa+Zn6WhvfNsmrRU459BtQF/CqjVaraWr7jz8/NYseLJ\nvfAXa5hzaHvid1k1PLmdc4ut0Zs4mnSYm9k3yNJkWR2/b8BTU5Nx8nHhXPqZCvN/+dfnqHWVex1h\nYeF4eHhy5swpkzDG6dMncXFxJTKyNoIg0Lp1W06dOlnhXEWAksCfQ9FeV+O3PJig38JQRRg9I4fO\nTvitCCZxdCzq8w834pprahLHxJIwIuaZSj06Ow8m0FbGucTvkUhg7FgdBw+q2af5lLKjszh9UkVh\noVG2NSlpJHp9Nu19sjD0GY1EYrzv48dlfPNN5SIwT4saShWbgmriJjUay3yFgk6TXiW7XC0tQK5g\ntIs7XSzytCeKC5/aaNx7iAEPvuVP0LH9yG7eQDtkuNWx0NBwkwcOoGvdls45ZmN5Wl1o0jIXMjNx\nmPYakmNH2JhqDjnffwmViiJ3SjSU6EvI0WZbed81lTZILQyqk1RGd1ezF7653As/pS4isRIFuz2P\nsbgZ4uzGBXUxP+RkWtX9V4bujs4Ude+BrrztqvzqZRNXQWsw8FJyHM2jr3PzX2jB+nfg9oonNo2N\nQkZiqUjSmNhnVmFSjb+PagP+FLjvfd/H03jhzb1b4qYysqgz1On8lXGBe+p7TDn4Cu3XtuDl/eMY\ntKMPHde1ovaPNQhY7cHsozMQRRFXV1cKCwtJSLhLlus9k3Fv6NEIXzvjCjtTc4+fblQt62kMo5vD\nfhs3rmPgwCGm7TZt2lnlwS1h08iOoDXh2LVxqHDM4QUn/FcGkzgmlsJ9eZRll1kZaO0NNYljY0kc\nFo1tK3t0ySUU7n52/ckFQY7cYSyuenMUpEB1E9HvNPN6jmD+fCX169vyzTdTOH3akc8/P0hBzhkk\nha7Igs6ZznnvPSV791YsWfs7qKWyYUNwuEkgxbKn9WwPH5QSCQEKpUkprVQUOfoYnbkqg3UIXWl1\nLFeozfmGCnKOnAKVtZSp0QOPstrnOnkqdZKSACgRRU4WF4Io4vDGFEqGjmDrb2vJUBoXCZ4yGZ0t\njOU1jZrFp99jxuHXK81/W2K4l5fp7y35OYgPeN9DnN1QmqRpNSQ8ouGJrUTCGFcPrmjVVmz6qvB2\nzdocbtXKtK3csol8fRlDE6IREHjP259BCVEVhGfu42BhPjvyH1+r/p+AIBXw/SIYQW58LqVxJcS/\neJviM/8dUbNqWKPagD8hLL3v+3gaL1wqkdI1+EXT9sLT82izpqmVipsldAYdP9/4nsNJB5BIJLi4\nuHL16hVui+aFQ6+wfkxrYtZnXnnpc4p1leek+/btz65d29DpdGg0Gnbt2k7//uaeyUYP/MRTecf2\nzzvh/58Q7i1JJab1dW4FXSK6+XViu9wiYXA0ti3sCT9XD/dXvfBeEEDGwmSToMyzQN2Ad/BXqYnN\nNHIJVvz1OS/Xn8TgfgoOHy7m1KnJPP98EuHh39OpkysSSRN+fjkS70mjadjQWGcsigJjx9pw8eI/\n+y9VV2XLuqBwHCxESSJTUhgsM3vJXS0MYGVh9Ao9zB+AKIrcK7Ooly4wQKMfIHSfcbMslOgwgbPq\n2xXODQsLJybGmiVf1qQZXVLNof5DRfmofvsZSVoaxbPnsFZqXogMEuQ0VNmZts8X57D2zh+cTj3B\nTYucuGX++z56urlhV/5cYkpLOKUuspK2fcnVk3Z25kXmo8LoABNdPZnr6Wvqh/4w2EmkeA8ZYdqW\nbt5A77g71FHZ8o1/CEOc3fjEJ4ihCdGct2gPm6orZXxSLG+nJTIrLYGUh2jeX7p0kX37nk6xsSqo\nImzwXx2CoDJ+D/ocPQkDo8jblPOIM6vxvw3VBvwJ8aD3fR979+42MdIfF5Zs9LNpp8kvMb9gWvm2\nobVvW8Kda2IvN7+EPj3/MaIo4uHhSXpWGn8VXDQd6xb8IsMjR+FnbywZydJk8eN1M+HKEoGBQQQF\nBXP8+FH2799D/fqN8PHxNR0PKZeLjI+Pe6LPdB/2HR0JPVSbiDsNibjdkMA1YXgv8Cf8XF3cJ3kh\nsTX+9Oyfc0RRQ0nuj89ODEMmtSW6pBFJ6YtJKLjLgYS9jKs7EVEUycr6hOLik4SGrqFpUwX9+pUR\nFNSLIPsbuNjZ8cqS3QQGGhcfer1Anz62REX9s6S2RjZ2/BEUjrtUhkoQ+PzSFRw/XGQ6bhlG32/B\nuC41GHg1OR6fm3/xdlpilYuxHL3enHsulkKDldBnAozqCn5nUat9GNNuAqsuVVykenl5o9Vqyc21\nfvm3a97a9Peh3GxsPlpE4apvyJNK2G1hSCcseo96EnPk4nBOIj1CeuFu48FfxeY5K/PAbaVSull0\nJ3s95S7a8s9RR2VDPZWN1fG9jxFGd5PJmObxeKI7AD49+lBiYwxJq2Kiee/MWRZ7+5tKC190dGal\nXzBjEmM5VlTA11kZPB97k5pKG46F1WG8qycL06tmsO/du5tNm9Y/9v08Lhx7uhC8pRZSd2OKRiwV\nSZkUz72PU6vZ6f9FqDbgT4DKvO/7yM/Pe2JGegf/57CV2VntC3Gqwdqem9nWdzdb+/7JyeEXODHs\nHAqJ0eO6kHGO4ylH8fDwQBImQas3hhlDncMId6mJUqpkepNZpvlWXfqCIl3l4bH7bHRj+NxI1hJF\nEVEULfLgJyo990kgsZWgDFVh19oBiV3FMLPXAn8yl6dTlvvsOp/5eb6OjeE2x++M4/MmvmSl9OX2\nbX/y8zcTFLQZqdRsCBwcelJUtJ+JdcexMXUFa9ZocHYuN5qlAp0723HyJDzM8X3SwEYLW3su1qxH\nVERDmrw8GcXO7cjOnwWgsY0d7uW58ix9GX9pitGJIi8nx5tywz/kZFZZD10h/x1kkTqJ2IooejC8\nwWSi86LYEm0maxUVgcEgEB5e0QtvVrsedqXGeeNFA41/+ontPl5szs8xaa43UNkSae9Iq48/NJ2X\niopJDafS0rctsaXm30NlBhys2ejJFp7scGd3BEGwWtycKi7853t629qi72dm5Q+e9w6y69eshjzv\n4MRq/xBGJ8WyvyifnSERvO3pi41Ewuvu3lzQFHOqCtW6tLRUkpP/nRI12yZ21NgdgbKmOS2S+Vka\nMe1uUPBnXoUFn1gmUhKjRV/4v4uc9/8zqg34E6Aq7/s+njQXrpKpGBZpDMEppUrebPYOR4ec4fnA\nTlbjfO39GBY5yrS97MJSPDw8sWlofqlZhuOHRYwkwMEo7ZmtzWb6ocmUGSq+uHr37sef+3dyLPEo\nSUGJjNk9nPo/1yL4W2++vrKS1q3bVpkH/yehqmWDYy+XZ6oQ1S6gG1/HSUnJv0Zd76F4eX1IzZrX\nCQs7g1zubTVWLvdGpYqgk48bVzIvIfWM5pdfNCiVxheeRiPwwgtQr54dU6eq2LJFxuXLEn77Tc7s\n2Uq6drWlRg17vv76yYhvNhIJKokE0cWV4sVLcHjjdSgtRSIIVnnk3YV5TE6O588HQsbzM5L5S10x\npVKhhMzRwmAEGhdwKXcd+arTd8w98SbJhUlkZgq0a2dHz562eHjUJDY2xmpOpUSCT7xZSOeanR3j\nkuKYm5Zk2jfU2Y3CZSsIPHIIj3JjIUptkNkFUcu3I6XlMrjuUlmVIe0O9o64Sq0XhQpBMBl2b7mC\nRuUesp5/tsnKfagXLKasRigAglqN09jhCFnWTPh29o5cCq/HxqBwq/asthIJC7z8eSctqVIp2dTU\nFFJT/712oIogJSG7amHXzhzlK40rIWlsLHf7RZH9ZzbZqzNIHBXD7VqXiWl9g9j2N9Bl6B4yazX+\np1BtwB8TD/O+7+NpcuHvt1nC1j5/cmHkNWY1exuVrGK/Y4CpjWcgkxi9rFOpJyj1LaU02OxxdLMo\nS1NIFcxuNse0vT12C1MPTUJv0e9ZFEX+zNpJ0aRC1IOL+eTSR+yO30mGOh1NmYYPzyyiYYuGnD59\n8n+EJe4524f8TdmUxDwbRqyt3Ba98nlyFWMI9J6GnV0rpFKXKsc7OPRGW7yXYRGj+OrySlq0KGPl\nSvO9l5QYq608PAxs3ixn2jQVZ85ICQ830KePjs6dy1i1SsGSJYon9sYBSnr3Qx8cgu2XywCsDPiq\nrAy2WuSC75PgdKLIxOQ4csqsF3MVRFwczUYWv3Mg07Jjh4yGno15tcEUXtv/MhNfkjNwoI6hQ3Uc\nP16H336LpaScIyaKsHevhNiZdWFtAGjMr5n7v0C5INDPyRVsbSnpN5CGGWYJ4KtaNQ7ODUzbVXnf\n9+fp6Wj9PXV3cMbVotStq0UYfU/BP9/+U3R2oeCXtRjsjUZQmpSI44RR8ICwjotMVmk71F6Oxvv9\nJbdihCQtLZW0tFTKyv696JTUSUbQ2nC83vND4mheDKlPFXGtxzXS5yVTuDcfQ6ExVaRL0ZFd3Z70\nfwWqDfhj4lHe9308qRcuk8ho7dcWLzvvh44LcAhkSC1zCc8xl8PoVMYXr5vKjWZeza3GD6k1nIn1\nzL2yN0atY+aRqRhEAxnqDIbvGsic47MwyConj2n1Wm4abmIwGLh7N/6xP8/TQuYux32KN+kLkimN\nL6H4TCH523LI/iaDrBXp5K7NovBAPprLxf/a6n/58/9hYZsPHz0QcHTsRWHhLibUncD59LM8t74N\n+tprWLjITLxKTZXw7bcKevbUcfSomhEjdOzYIWPBAhVbt8rJyJCwebOMuXOVT15HLggUfbwMmx++\nwa12KP0G9kVR/pK3nOolV0/21ojEsTzPnKwrZXJKvJUymZWMap4Athb5bFkp+F7gyBGjQZzccBoJ\nCVLuhX/K22+XMmaMjvffD+bu3Sg6dbLlyy8VdOxoy9SpNojFclgdCsNbEnjKD1vB/LqxNLKlXbpR\n54K5FPKaRk0aZqNdGYHNEpZhdIBhLtYa+ZYkv4NF+VV2Pvs70NesReHq702VAorTJ7Gf+9ZjnSsI\nAou9A/j0XlqFxVVqaiq2tnakp/+70SlBLuA+2Zvws3VxnegBjxAYzP0lE33+s0t5VcOIagP+GHgc\n7/s+nrYu/HEwtfEbSMvDinmC2ZPoHNwNqcQ6jCgIAh+0Xcro2uNN+/64/SsD1g+g49qWHEzcb9of\n6BDEyMgxfN5xJa/Uf820f3P0hn8sD/44cH3JE32mjruDosh4P4WCbbmUxpdQllVG8YlCcr67R+qs\nRGJaX6dgxz9ffuOickUpVT56IKBQBCGXB+IkucvhwSd5t+V7/Hj9O36wr8PohTtwcDAaSK1W4PXX\nbejQwZY+fWw5e9b6zSiRwJUrEl5/XcWTOlkGXz+yr0aRc/gUhs9W0E5v7cqPdnFnsbc/IQolK/2C\nTfsPFhWwPMuswmWVAy+upG458AQxMRKKimDTRiWy7b+QG/EFV7OMBMpmzcJxcrrNrFmlxMRImDb3\nLmVSi5xunoLkeWGsl9VnpocPo1zc+cCi+5muURPqXb9i2r6mVVvVgD/MAwcjPyCyPCxdS6mykqIF\n4wIgUG7kkBQaDJxWV84JEUWReelJtIy+bsVmfxA5OdlcvHi+wv7Szt0onvueadvm5+9x7tkFm5XL\nkT7AEXgQtVU29HVyYYlFb/LCwgIMBgO1akX8a3nwByFzk+HzYSBhx+vg1N8F29q2OPZ2wWdpIGGn\n6pjy5YYiAzk/VxTMqcb/LP55Ief/g8jISKdHj15IpcamGrdv32LXru2m425u7owdO8G0LZf/s6Ie\n9xHiVIMBNQdXKDXrFtyj0vGCILC0wzJ0hlLW3P4NgK23rTsnvdpgCu+0mG8K3ScVJrL66n8AY7vT\nea0WcfLkcUaMqLqz1z8FiVJCjb2RjxynuaomYUg08mAlNvVs//X7qgqOjr0oKNiGnV17OgV1pVNQ\nV86kneato28w71f47s0XiYoyLqxu3TIvsORyEZnMmCuPi5MyZIiWs2dljB+v4ptvtA+WWj8cMhmi\nlxd6Ly8G5edwMNkYLRl7+DCfB9RA18co2dvN0Zkpbl6szDaGPj+PEiK6AAAgAElEQVS+l4qPTM5Q\nF3frELq2EqZ24Akcbr7J0qVKNmyQsXmzO3dknzDpwETmtnyPLG0WcXfjuOY+l5yut3hjtzvqrF+t\npjAYBF4b7siBA1KcPa2nP5xyCLXU7GFe06pxlZpfTY8y4BJBYH1QTY4WF9DBztFK8AWM/wddHZz5\nNscYpt9bmEeHSuq8dxfmszrbOGZhenKF0LwoimzZspF3330bOzs7zp+/WmEOzeszkN28jmqzkewn\nP3cG+bkzsGgeZaFhlAwaimbiK4iOFYVi3vTw4cULJ0l288JfqSQ1NRU/Pz/8/QNISUkCWlU459+C\nMlSF/9c18PBwIDPTvBhze82L1OkJAOR8ew+3VzyRKKv9wGeF6if/GAgJqcE778znrbfm8tZbc2nf\nvqPVcYVCYTr21ltzeeONN/+1e5neeBYSi1CkSqqiQ8BzVY6XCBKWdVxhJQkK4GPny8be21nU5kOr\nvHuAQyAtfIwvCr2opyiwoEI9+L67u5l34m3i85+uxOzvwqa+LT4fBZA0NpayzGdHpnF07ENBwU5E\nC5W8lj6tmNRwCmdKfmLPHjW9epnvTyIRGTZMx+nTxcyZYxYVWb5cyZIlWhQKGDHChqKn1NTo5+jC\n9wE1+M6/Bkuf64rD3LesJD7f8fKjVbm+twGYmprAx/dSSbc04LpK2tEGnATBwNdfK1i6tITISAN9\nwwcwoOZgNkVt4EruJexcbdFkaugT1p8G8ZWXLoaFGZg40cYq0qA36Fl24ROC2z2Po9bIIcjR681N\nUEQD4YpKoiJlZWAR+veSyxns7IZXFYtnyzD61vzcCmz0MlFkcYbZy03QlZJl8VySk5MYOXIwy5d/\nxo8//k5GRjrFxZVoLAgChctWou3b30p4B0AWG4PdksW4NqmH7ScfIeQbo2iS1BRsvvyckOfaEN27\nN169uyJkZpKamoKPjx9+fv6kpPx7RLYngdMAV2RexmdclqEjv7p2/Jmi2oD/lyHMJZy+Yf1N2+39\nO2Int3vIGUbRmBUvfM3YOhNwUDgwqOZQjgw5RXv/jpWO7xduFnQ5lnsUg8HAuXNnOXLkEPNWv83I\nXUNYffU/9NrSlYSCu//Ex3piOPV1xWmQK0njYp+ZCIxSGY5U6oRGc8Fqf9fg7hyIO4CgLOa777Ss\nWqVh2rQSTpwoZvlyLYGBIhMm6IiMNFK61GqBDz5Qsnq1lsBAA4MG2ZL7QAQ3I0NgxQoFn32moKAK\nIrUgCPRydKG3kwvUqUf++q3YzZuDsryOWCYIfBtQgzoWHu1nmWmctQwpGyp2OsMmj1z5TX77TU2v\nXmbDN7vZHH7q/jtfPL+K5vVa0k7VkXricE6fMhpcqVRk1CgzkcverQCpFPr3t+GNN5S8956SvisW\nk52poMGAd2gUXTHMLCvJJCnPQulNp0P128+4Nm8ANWsiP3yw8ofxAFrZOeBdzmTP0pdVqL3+PTer\nQue0K+UKatu2baZz5/Y0adKM/fuP0aJFS0JDw6vmxNjaUvjNT2Rfj6Hgy68oebEXoq05UiTJz8Pu\nk49wbVIPpz7dcW1UG/vF7yG7YxTK8b30F859ulF44xq+vr74+/uXe+DPHhKlBLeXzSGUrFUZiIbq\nuvFnhWoD/l+It5vPw8PGE1uZLZMbTXusc2QSGUs7fE7+2/ms6vQNLirXKsf2Du1nyrWfSz9Dq+6t\nGTduBF98+Skb1Oug3LG4p85g6M7+ZGuyq5zr34Tnm75I3eSkvVW1SMm/DUfH3hQUbLfa56JypYVf\nCw4nHkQQYNCgMubOLSUszHyPMpmBJUvMBmPbNjknTkhZtqyEZs309O1rS0aGwJUrEiZPVtG4sR3v\nv6/k44+VdOlix+3bj/7X1deuQ/6Gbdh9sBCnAb1QHNyHp1TG9uBaVj3HrXG30r2i/0nCwqpeKIWG\nGmvBf/zR7AF3717GoEFmg3/wWAnff69h4kQdjRoZSPf4nVvSTYjr1rP/uCv1tRWlTr3RcDLlBLNm\nyCj8ai2ubZqi3LKJgtU/wNdf4zB7Og6vv4qQ+3BPUC4IfOhjzrv/npfN0fKSsiK9nqWVtGi9pDF6\n2F988RlfffU9b7zxJgqFMZceERH5SOEm0cODkqEjKPjpd7Ju36VgxdemcjMASUE+itMnESr57cpi\noun/+ac0UKnw9fUn5X9Ru1KXMR5I7I2/v9JoLUX7n50U8v/vqDbg/4UIdgrhypjb3BgXSyvfNo8+\nwQKVlbE8CHcbdzoGPG/arjOkHjdvxtJzQW9ylNbGOjYvhpF/Dq6yccqTIiPj8ctTBImA36pgNH+p\nSX8nibJ7//PhdEfHAeTnr0Ovtxbi6B/Zn51x2yo9p6TkDlFRkTRseJ6BA833PGeOkl9+kePoKCJX\naWnUuoTOne3YsEGOTmf+3uLiJHTrZsv27Y+msOgja5Nz5hLaIcOxe38BLh1a4rHuD7Z+vZoJBx/w\nXksFUJrTInUd65uPBZ7g7t2qXxfh4TW5eTOJdevMBnz8eB2NGumxsTEaqOIMH07FXqd37zLqdT3L\nMdvZbB+2hukvO7Jhg4y6HhUrMerZOHDw/BHeWNOanI9+InXRSvI3baesWQvo2pWcI6cxODri0r4l\nih2VP+/76OnoQi9Hc0nZzNQEig16vs7OILMSBuFljZqiokLi4+NobdE6FIwG/Natmw+9nhVUKr4t\nKeHDEWM489pUSgKDTIdEQaC0XUcKVq6m4D/fUlqeBnApLGDqhnVEaoofSmIrKysjIeEuV69e5vjx\no+zYse0fl1+1hNRRissYD9N21srqkrJnhWoD/l8KmUT2yND534FlGH1z9EYyitP56Nxi0746irrc\nb7p8MeM8r+wfV6lYzH2Iosj69WsoKKh6tS6KIp06tXuiF6PUXkrQ+nBEA0S3uUHq7ARK4yt6cnv2\n/MmxY0cee97HhawwDEVeW7KyPrPa3zeiLwcT91Oit76XkpIY7t7tgyhxJ/7ez0x5MxV7e+ODjImR\nMnu2iqVLlVy9ZEdZoXU5VGCgwWQM1WqBiRNtWLhQ+Wj2ukJByeBh5B4+SdHCD1Hs2Iq8tJSPRk5g\nrqdZPpcoBysRlwaShuZjQceJj6/6dREWFs65czVRq40LjVq19LRpo0ephKZNzfoDC9buI6M4nbG7\nR/Bpxy+p7VaHHj3KOHlShn9okwrzPu8Wwpg1+zE0bMAPYw8xaFUXtJZSAfb2FH+wlIIffsVh2msI\n2Q+PBn3oHWiqi0/UlTI7NdFE7AN4zc3cIOWytpiLf12kbt16Js/7PiIianP79uP/Tg0GA4sWzSc+\nKYE3r10hqLiY0ba27H6xFzl/3SB/03ZKBg+jZOAQvlr5H0ptjGkO2+Iims6cxrzoOyi3bKw00rBs\n2VK6du3ItGmTWbZsKcWff0LNUUORblj72Pf3pHB72dPUEEV9tgj1uepmKM8C1Qa8GpXixZCeqKRG\nctvN7OtM2DuawlJjyDHUOYy1fTehPGQmv+29u5tRfw5hxaUv2BK9kXNpZ8nSGMtMSktLmTbtNV5/\n/VV2795V8WLliI+PIyMj/YnrzuVecnw/DiT8ZB2kLjLiut8i+dV4ynLMlu3bb79i//49TzTvo2DQ\nGoytUycNJzfnJ0pL75qOedt7E+EayfHkI6Z9paUJJCT0wcZ5CnMuJZBw7w/6H2qMuu2sipOXQ5Dq\n6NNHx9tva4mMNODiIuLvbw5lr1ql4JVXVI8nBiMI6J57gYI1myj67EtwdWOahw8bg8Kp+ZcffBxh\nZcDdsj2QlJV/x05JXEus2gsMDa1JcnJv0/b48TruB3vatDEb8Mwbdei+6QVG1B5Nj/KWug4O8MIL\nZVw9E4xKZx1FaX3qNi0S9aR9Mp73FpTi6SkydWrF/utlzVpQ1qQp8gvneBi85HIWWZSwbczPMbU7\njVSqmOvlZ2qQcq+sjMPXrtCsWYsK80RERHLnTsXmLlXh7t04nJycWLr0czZt2sG1W3H0+OE35t/L\nwODnbzXWu3M3Jq9YSX75fUjUaobqdDi+Mh63yBo49+yC4uA+0/jr16/yySdfcPjwSbZ9+RVTbl6n\nmSjiNGsaaP6ddqZyHwVOA8xpuNTZCZRlVauz/U+j2oBXo1LYKxys5Fkte44vafcZXu4+NNE3pZdL\nH9P+g4n7ef/0fF7ZP56eWzpT+8cajNk5jD7jXyQ3N4e5cxdw9uzpKq957pzxGklJCU91zzJPOV7v\n+BF+vh4yTxlxXW6hva6muLiYs2dPk5paCUHrKSGKIqnT7yIPUGAXHIR99gQyMuZZjelRoxe74nYA\noNOlcPduL9zcprLydix1fIYS4mDLtVGnSfj+Xaa8kcMLnTUMH17K9OklfPCBlpVf5eH4Vj3eWxbN\nG2/o+PVXDTNnlqLVQrNm5sXJjh1yTp16+lam7e0dcVobDOkSsDMuumQSGTkJ2XiU1DKNu1ZQ9Xd3\n/LgPBkM4AA4OIoMGmV/mrVubDbhNSne6BHdjZlNrkZOBA3Vs2SinrtpscGyAerNn8EanLlwXLiKR\nwKpVWlJTBRYvtvaIAXTNWxpLth6BIU6ulXIA3vXyRy4INFCZCWfHM9Np2rR5hbEBAYHk5eWRn/94\nym5Xrlymfv2GVvvq1WtATExUBf5GS1sH1oSH0c3WltKgYKtjgsGA/NwZHMePQrhnrBi4c+c2tWoZ\nyy9tfv4BoXxBItVoUPwLUaf7cJ/iZSpELrml5e6A6Goj/j+MagNejSrRv+agCvv6hQ0wla117foi\nThdcGBoxosK4+9iduIu/Wp3Hc7wXDdoYpVmrwrlzZwgICCQp6e8xbqUOUrwXBeA114+7g6I58Nke\nlEoVqamVe5CiXiR/ey6xnW+R/X0lZVSVIPOzNEoTSvFbHoxDD2fEdQPRaC5RXGwWvelRozd74neh\nKYnn7t1euLq+RKbQnp1x25jZ7B3s7J6nqGg/SrmM+W/LWfN7GV98UcI775Ty0ks6Bg+QMqBxe/64\nZa6pHjVKx5dfaomNldCypdmIf/55RYP2JIhPEK28b29bH5ITE6njYJY0TaTy7y4vD+bPN0djRo/W\nYW9vPm6ZB09PsuP10GVWpZAAzz2nJzZWQojc7NVFpqTym/1k/J7rw6kU43NVqeCXXzTs3i1n9Wrz\n+fn5eTT87Wf0Z0498rMKgsCnPoEmTxugja09ncqNegMbc2oqSqBSAy6RSIiIiOD27cfzwq9cuUyD\nBtYG3N3dqBWf/UDY31YioYEo8FdZGXlnLpG77wg/BAWTFV7TVJomaDTYfPc1Go2GtLRUY/dArRbV\n7z9bzaXYU3XE6+9CWdMGv+XBJitScktTbcT/h1FtwKtRJZ4P7IST0kz6sZc7WEmNdu3ajf379vB5\nh5Vs7rOTha0/5OX6k3gxpBc1Hc2emyiI/HrrJ0ZfHEZyRBI3E29Uer1z587Qv/8gkpIS/9Z9pxal\n8MP1bynqpCZ4Qzj7fv6TboHdK9TSijqRvHXZxLS7QfZXGbiMdCfzk9RHvoDyt+SQtyabgJ9CkdhI\ncOzhTPHeEjzdFpKe/haiaPQ4/e0D6OdvR0xse1xdJ+LmNoX5J+cwo8lsXFSuODh0obBw70OvNbL2\nWP649auVjn2nTnrWrdMQEyNBEIyG8dgxGSNG2NCnjw2TJ6u4efPx/7W1Wsi6Z93ExNfej4SEu3Sq\naRYPKXA6Wank64cfKsnKMl7PyamImTOt8/4P5sErixbI5dCnTxkJ58wJbrfoWBbp5jChU2tOpZq1\nCKKipCiVIpMnw65dxrl27txOTFoqN69ewSTK/hAEKJR85B2ABHCQSFjkHWAieN5vfgIgRETg5eVV\n6Ry1akU+dh786tWKHrggCISF1SQmJqrC+AbFalSeXghSKWUNG3OwTTt+eXUKBd/+RFn5wsPmh2+J\nv3KJ4OAQ5HI5ym2bkTywGFDu3Q36f697mPMgN/xWBFcb8WeEagNejSqhlCrpF2ZulfhW83fwtjP3\nSq5RIwwnJyeuXr1MW7/2TGo4hcVtP+an7r8TvCeEsWUTaevX3jReU6ampFkJnXa2Z/bRGVZCMLm5\nOaSmptK1a/e/ZcD/yrjAc+ta8/axmXTe2J60gHQue16hu7I7WemZXAs+z516V4ludZ2oxtfIXZuF\nz5JAQv6shesYD5z6u3JvadW60+oLRaTNTSLwl1Dk5YIWcm8FinAVkisvIJE4kJv7K6WlWSQljaKP\nj5Y/c1/Aze01DibuI7kwibF1JpL97T2Umo4UFx/DYCit8np13evhbefNIQvpW4AGDQzs2aPGy8sc\nfk1LE5g1q5RatQwMHmzD8OE2nDkjfWR+PDm5PFltYcB97HxITU2hb9OuYDAaSdHzOtFJ1iHjixcl\n/PyzmXneqtV6K+/7Pizz4EePViSaFRYWkJExmQsfT6TlrdvUvX6dU79swD9oAYGO/tgr7LmQepnF\nixX06WPDzZtS9Hp4/XUbsrIENm5ch6+vH+dcXZFdvfzwD1yOoS7unA2vy+nwutSzMNoNLTxwfVhY\nlSWKERG1H6vvgSiKXL16hdr1GlQ4FhYWTnR0RQNeI6+QUnczidEo5pLEoubNsNuzhxmvvWYsQ/vh\nG8JrRqAXRWx+/LbCPJKsTGQXL1TY/0+iciMe9UyqQv5/Q7UBr8ZD8V7rxUxpNJ0P2n7MS/UnVTje\nteuL7N37p9W+Awf2EhMTzfuvfMSm3jtY23Mzdd3NJUll6Pj5xve0+qMxL+8bS1x+LOfPn6VRoyYE\nB9cgOdlswOPz4ziXdhZt2aO7lB1LPkL/bb3ILTGqoGRpshi0tQ+Zmnt039UHDx9PHPd4UGNvBIE/\nhxK8pSYhW2ph397R5H15zPKlYEcu2tsVyT+lCSUkjYvDb3kwqjrWEq6OPVwo3JmPt/cS7t17nwsX\nGqBQBOPqt5XfY05Tqi/lvZNzWdB6MSUnNKS/m0TOxyUoleGo1Q8P+46qPY5fb/1cYX9goMi6deb7\nvH5dipubyNSppVy4UEy3bmVMnaqiTx8b0tOrLh9MTCx/DVgYcEeccHZ2wd3RHdv8Rqb9+26ZNcDL\nymDWLBWiaJy7QYMU8vJ+QF+Jx2dpwE+dsjaIR48epkOHVjg5leLv+RdLHJ7jcEAtbAr3YDCcYPDg\nvjQrGceYASF8+aXSdD0Ab28DY8bc4+bN60yZMo3z9vbIz52t8rM+iCCFskKr0iC5Apf7HdxUKu7q\nKl9gPawWXLh3D0U5aTI6LhbDxAm0yExidGKMVSOZsLCalRpweVYmoocHieXiMv7+AcRkZ/FFdgal\ncjnLBwwgz86OOvv2kO7lwSf7diL/y6hNLyoUpFoQ75T/Yhj9PioacS3xfe6gS616cVqNv49qA16N\nh8JObsf8Vot4qf6kCnlLgC5durNnj7nmtKSkhLlz3+KDDz5GqVQiCALPB3biwKBj/ND1N8JtzaF1\ng2hga8xm2q9pwRfXPqNh80a4ublRUlLCxaTzjNk9nBa/N6Tnls5E/BDCuD0jWXv7dxO73RK74nYw\nfOdA1GXW8paJxQlIRkgoFUvx9fUjPT8dua8CZU0blGEVRcdlrjI8pnuT8Z51vlyfV0bC8Bjcp3vj\n0LmijrVjD2cK9+ShUjTAw+NNatf+A2/vxYS71sVZ6cy0Q6/ha+9HJ9+upL+bhN/yYIr256NSP0dR\n0b4K81miT3h/zqSeJK2oIgkvMtJA9+5mT+fLL425cJXKmIs+fbqY55/X06OHLdHRlf+7JyTcN+Bm\n7oFcoyCwvFbZp8ysNXAqxbzY+O47OTduGA2djY3IihVy5HIZQ4f2JyfH2su2zIMnJwdgWdY8efLL\nLFnyKV98sZIhQ+z4/VgI+4rbEBTkxa5d27C1ncT6t2eSFRfAg3BygszMdfj59ad585b8pVY/FpHt\nYRAEgQYqsxd+WVOJZCoQGVl1KZlq7e/YLXiX3LIyXspOp6hXLzSiyJ7CfM5bzBceXpPY2IoKdOlp\nqQT7+pvEZnx9/bjh4mzqNCdKJET7++OoVtMqPY1Wa343nVvSpz+Fg4eZtv/NPLglnAe54bcqBMoz\nJKWxJcT3vkNpgnVKQ9SL6FJKn5mC4v8lVBvwavwtNG3ajHv30klMNDLHV69eRc2atXjhhS5W4ySC\nhJ6hvTk07ATKtSra+phD66WGUi7YnON3l1/47dbPSAdJeXFHJ3bH7zSNUZcVsytuO1MPTaLOj6E0\n/60BQ3f2Z87xWSw8NY8Je0dRWh6K9rHzZX6r9xHKJeNy7HKYtH8iPr6+VRLZLOEyzoPShBIKDxlr\n1g2lBpLGx+HwvCNuEzwrPUcRpETuI0d9pgg3t1dwdu5gOvZijV5sidnIojYfkftTJjJvOU5DXHF/\nwwfN6voUFj7cgNvL7ekd2t/UkOZBTJ9u9nK2bJXy07Gjpm2p1Hh89uwS+va14cKFiv/ylXngFIgE\nlTOgI23NefBzmnVcv5vBn3/KWLLErFE+c2YpERE2rFu3hTp16tGlS0euXTN3GFMooFkzsxd+4oTR\nMOXn51FcXEznzt0AGDBAx5YtMn79Vc6wYTq+/VbF3r1DoLy9qFyhZ/Jk8+dNTRWQyX4lPX0UiYn1\niM/ORnfuNE/VZL0cmjINkRYEt8uaykWKvLy80enKyMys2MdbuW83d3SldI25wS0762YsFyyka6sK\noaemplI/MIgjxcbn5O/vT0poqNWYqADjgmbemTP0O2AW5dFMeBm7Pv25v0yQxUQ/shvaPwXnAa4E\nfFPDVCOuSywlvvcdtDfUFB7IJ3VmAnfqXSWq0TXu9onCoK024n8H1Qa8Gn8LUqmUTp26sm/fbtLS\nUlm1ajmLFn1U5XilUklTt2ZMdpzKngGHaOLVzHQspyybmUemUhhSiIj5Bexnb10nKyJytyCeQ4kH\n+P7aN6y6vBxDeUOREKca7Oy/jymNprGwtZlw92f8Du5GxJOS+uimEBKFBK8F/mS8l4yoE0l9IwGJ\nvXHfw+DY04WCXRXbUI6KHMunHZYTbggn8/N0fD4wEqZcR3ug/yuEMk0epaUPr30fXWcsv9/6xfQ5\nLdGokYF27Y1GTTRImL80j4IS4+JDpzPqqIeFGRg6VMfAgTaMGKFi+XIFmZnGl+yF2+XMewsDrs3Q\nmjzwtn7tQGtkaBdKknn+x/6MfVVrEm2JiNAzaZLx+jKZjAULFjNv3kIGD+7L+vXmznmtW5tZ899/\nb2zaEhMTTWhomCmFUaOGSFCQyJEjMpKTBSt2uyC5Qavp05gzp8RE3ktPF9BqS/jpp8bMmuWIs2sd\n/kJAGh9b4TkVFRUya9b0SkP893E+/Swtf2+EMsFcyliVBy4IQnkY3doLF7Kz2eloT8uvvuauvqLK\nzgW1eb7g4BDS0lIpeYB4l5aWQrvgGhwvLkQviqi8vNFGRliNuVNu0N0zM5GWh9pja9ehrHFTlM7O\nHFOaF1iKPdZprn8Tjr1cCPg5FEFp/E7L0nTEPneLxOEx5P6ahT7L+Ew0F4vJ/a26JenfQbUBr8bf\nRteuL7Jnz24WLpzHmDETjCUtD0GLFq04c+Y0jb2asqv/fqaHzEKqrSgL2jmoKwcHn+DS6JucGnaR\n+a3ep4VPq0pD+QB13euzo98+AhwCjdcRW+Jy29wS8rrdVXYX7Kz03Afh0NUJmaec+D53KInS4v9V\nCIL04TK0jj2cKdiVV6G5g5+DPyNrjyHjo1ScB7qirGn0yAS5gM/8QDjTjML8h3vh9T0a4qJyrUBm\nA0grSiWjyeum7ZILw2jYyI6QEHv8/ByoV8+eF1+0Y8UKJWq1hP375XzwgZJGjW1pOvQoF6+VGw8n\ncwg9PynP5IHXruEMm/4wkdnwugbDe4FcjUQisnRpCQ82AevTpz+bN+9i8eIFXLpkzM2+8MJdBMG4\nALlyxZUxY2y4cSOWsLBwq3PHjSslPNzAF1+YDVCLFmW8PPk3Tv/5DXqJBk9P4zMWRYEuXcbTvDls\n365BLm/CL/n+nFl2gQc0YTh27Ci//PID+/dXzfxfe/sP0opTiT9uNnhXtGr0T0BkO3fqGAPnzKFI\nVX7/Gg2T7cxplwuaYhMxTi6XExAQSHy8dWe/1NRUagcE4iNTcFmj5lCp1hhOscDBxo0r3M+qfn05\nVGhcvJ3zMavsPZgHN4git7T/jsgLgEMnJwL/CENi+3ATk/V5GgZ1tRf+tKg24NX42+jQ4TkuXDjH\n2bOnmTZt5iPHt2rVxlQPLhEkOMU5MyxzBK82mIKrypUQQyj9cgbxe48N1Csnv4W5hDOl0TR29NtL\n3MRUjgw5zQ9df+PdlgsZGTmGyQ2nsaXPTjxtzSHuI0cOMchpKL1D+5n2nXc6a1VXXRUEQcB7kT+I\nEPhrGBK7RwulKGvaIHWQorlUMeSquVxM0b48PGb7Wu237+KEPKkduVE7Hjn/1EYzeGnfODqsbcXs\nozPYGLWO/Xf30HXTcwzs7EPz5kbPRjRIKcpyobj44QuO0hIJiYd6UnYvFGRasDOGgqWClNSoFGrU\nCAOgXj09bjndYeuP5pMDT+I/aQB/fJtDy5aVe7SRkbXp1KkLly9fAiAk5AIzZ35jOn78uIwVK9oS\nEmLuAZ+eLnDmjJRr18zPu0OHMtau1TBn5nSEFAmrd63Cz89sUJs0MVZK1KxpYMaM+mTWkKA/fpY2\nbew4e9Y8z6Ftm2mmUvHj4veorB5OW6ZlZ+xW+ocP4tLhvTiXe+pqg4HEXZXrrBs10c0GPE9fxivu\nLhjKQ/AB2dl4LFzIu0GhprrzjDIdKRari8qIbGlpxlaiHe0d2ZSfzfaCipGd856eaC2MusHVlTYj\nxzErLZEivZ74OnUxlEc2ZOfPIliE+ncV5PFC7E1SqiDo/ROwb+dI0PpwpK7Ge1QEK3F7zYvgrTWR\n+ZS3JM0sI+fHx9NeqEZFVBvwavxt2NvbM3DgED74YCl2do/WZ2/SpBnXr19DWy5qfe7cGdo2a8+i\nNh9ye/xd5vi/S1l81SUotnJbarvVoWdob6Y2nsGy51bwXihgFxAAACAASURBVOv3rWrWwWjAn+v4\nAitfWE1rX3MzijeOvM7u+EcTe1L907jy5XVKXR//JefQ05mCndYvW9EgkvZOEp7v+CF1tF4ICIKA\nz+D+lCjPo8u3bojyIHqH9SNqfAJfPLeSUOdQdsXtYNHp+Szr+CXTm85k3rxSFAprT1EiEXFzM1Cv\nnp7u3XWMHJ+HR6/PcAl5oJe7g5kg523nQ1xsnMkztrODAwfU/DB9IFPClpjGJbvuYU3qSw/tBBdU\nFMTNS9cA0GqvMWZMHG++aQ5vJyREcujQeHbtkjFypA0NWmn5rWwQvFYHBg0mfPz7jP9oK4WkYWtr\ny4CXBvHVpyvx8zMbYIkkiNSiFEbvHkZgrWBua7Pp7niSefNKePVVFfn5xlKuw3t28eVznbgVH0da\nx1bIHpBd3Xd3N3U9GjCi1miS7yTRxOL7uHFgr6n/uCiKaMoXAJYhdFEUeSv5LsmODgC4CBLmTJ9B\nExc3pIJAY4vytAsa6zy4ZS24RqOhuLgYd3d3XnHz5GhRAceKK/429La2nGtk1o/XjhxLezdP2tk5\n8H5GCk6h4SSUy7QKooiynBUviiLLstKIVNnwbfY/bzz3799DUXlTe9vm9oSfr0f4hbqEna2D9wJ/\n7Fo74DHDXI6atSIdfdG/V6v+fxnVBrwa/wg+/fQLXnyx52ONtbe3p1atWly6dBFRFDl//gzNm7c0\nHTeqsT2dnOp9FBUVcvXqFVq1aotKpuKX7muo5WT09AyigZf3jeV0auXKYjq9jk/PL6Htmma8sn88\nXTd2JFNdkahUGRx7uFC4Kw9RL6I+V0TGhynEPmf00JyHulV6jl09b2Q5dUn5ccsjeyvLpXIaeTXh\n1QZT+LHbbxwfdo5OQV0BaNFCz+XLxRw4UMyJs1n4vl+HzRf2cetWMQcPqlmyKo7T9ZsxYVIet894\nsGGDmqZNy3O0FvlvD6UnggCurmZVND8/kZ49y5jf5TWmNTZHWbbpt7Axal2l9yqKIh6H3Lh+9r4B\nv4FKVY8ZM2wYPdrMk7h0KYhx42zYd7gEcVhPiNgOnjehzgaiA+czZt8g6v9ci3ZrmuPRxpM8fS7q\nEnMv7tiEUobtHEhKYTLfpn1FUmYmxcnJ9G57j86dy5g/X0Xc1k0IpaXUWPUNw1+fwQpPLxzHj8Lh\n9VeRnTuLkJ3N+jtrGFxzKI7pcrxEA22OHTZd41z9+qg2rOV0cSHtY28SeusSM1MT8A2vxe3btxBF\nkY35OWwpMjfrmeksI74gn4a+RiPa1NKAq62Z6DEWJLO0tFS8vX0QBAFfuYLxrp4mRohvfgG25Skk\ng0LBlZcnoRk3Ec24iRTPehuAhd7+7C7MQ+/pyWlPswjNfTb6gaICRBF+CAhlTV4Whf+w0Mu8eXM4\nc8b8vyV1kKIIVFp1QnQe7oY80Fgxoc/Rk/NttRf+NKg24NV4JmjZ0hhGj4+PRaFQ4u9vLhHy9w8k\nOfnvyamePHmCxo2bYmtrrNd2VDqxofdWKG/mVKIvYeSfQ9gWs5kcrbnk6Vb2TbpvfoGl5z80dVeL\nyr3DoB19yNVW7ASl1Wq5fPkv07aqrg2iQeSkx0lSZyeCAXyXBhKyoxaCpOqQtktETzSh33H37e2U\nFT6qvVjVcHcXqV/fQM0QJfM6TufQnQlERTckLuMXem/txojIMbzR9E0EATp00PPnnxr27Cmm10iz\nV2ynt7Milj2Id1rMZ5D7ENP2wtPzTKQ5S+iSSwkuCOJO0m1EUUSrvY5KVQep1IGXXlrNxIkWgjkS\nHQwaDP5V13Dfyb3Nl5eWIY4UORzaBZqtAkkZf5w9TEvfVuzqv5+7RXF41fDiQmgY8gvnmD+/hJMn\nJOx7dxEvNG+JYG/P2LET2Hj1Mgl7DqH38cV+/tu4NK/Pmtf2MnH6t9wZPYIGTnZkda9nuvaJpk15\nMyuNPnejuFOipQz4NTeLfrnpSFq04EJyIm+lmfUL2kgK+fXoBC6qbGhcHuZuYms24BctiHH3PfC4\nEi0L05PZcy8NX18/0/G9heZnm339GgqL70UaEUnRx8so+niZsXYQcJbKWOjtz3ZbJTtl5oiP4uhh\nxOJilmWmMcPDmyCFkvZ2jvye+88RyURRJCUlmbi4iiRCS0gUEjxmWnjh/8lAn//0v/v/X1FtwKvx\nTNCyZWvOnDnFuXNnad7cutuTp6cnRUVFFBdXzv59HBw5cpCOHZ+32uft4IPXPm/clEYN6sLSAl7a\nN5aIH0LosLYVk/ZPpPOG9lzNrKjkdTP7OoN39CO/xKhEpjfo2Rq9iWbf16fL0Y503/QCn5z/iIsZ\n5/H/PYSml5sSdrQ2Xu/6YdvC/pEEOHf/V3Br1hdt/7eJOtGSe1HfoNc/fYvGkpJYGit+ooFjPmcL\n65OSOo2FDSKZ3HBqhbGNGxto0M68YJJp5Kb8d2UQBIG3CufgoTP2hL6nzuCT8xUrD7SX1XjV8Uah\nV5CYcAu9PguFwkhwVKkiGTTodxwdvwHBgM2QiVDTTBx7q/lclnVcwYR6L9PCpxU2MutSLINXGvSY\nAs1XoMv15oO2S1HJVKzq9C3pjmkcd7RBfu4s9vawfsRG9mZl0WTYqwB4e/vQsePzrNm5DfU788nb\nc5iPN8/lzWV90Cz4kOP16uM8pi/RWWbC4HWphK9feKHCZ0wt05E/9x1G5N6jqDysXgOBJoVnuZNz\nm4sF+TTNNS4Qm9iYJequatVoy8eHhYUTFR3NmKRYVmVnsMDBhqLuxrK6nLIyjpeXkgGEXrpCsUUl\nQol75VGdvo4uePsFsDcjg7JaRva6oNFQsOAdCktL6OloJHdOcvPi25x7lP2NsjtLZGZmUlJSQmxs\nzCPHOg9yQ1HDSPQz5OvJ/qraC39SVBvwajwTtGjRkgsXznPq1AlatGhldUwQBPz9A57aCxdFkcOH\nKxpwgECHIOaHLKqQL7+Vc4NN0etNteRyQY7DaQcaJTY29T2/knmJoTsHsP7OGjqsa8nL+8eRIaSD\n3NgT/ZPzH/Hi5k40OFGbcefHsSN2K8W6x1uESCS2eHq/QUSLG7ho5pB5chtRNyNJTp5AQcEODIaK\njGG9vgiN5ipa7S1KS5PQ63MxGErJzv6a+PgXcHTshbf/Rmaf3U6yYj61bNNJSZmAwVCRZJdWbC6v\n0+foKzDDH4T0uoS3beeatr+7tpqb2dYa9wWX87jV6w4BrgFcOrALpTISQTB6hCpVbaKiztG8+SZe\n3TAbTa1fTOdNbzyLmU3fYmTtMXzU7lN29NvLzXFxrO78A92CX0QusaC8t1iBm64hMomxiqGuez06\nt+7O2ns3kZ07DTodEWvncFGi58Ch7qbTJkx4le+//4YrV+D2bQnrotbRrfk4ylq24mzCXYZ1HsnZ\nxL0EPEivB7raObDMNwg3qblyIk9qfJVK9Xr+E1KTpLzbqApVSFQyAm5cB8BNJqOGwmiwdKLIVa3x\ne3BxcUXWsAF3Ssxqg9fatWVhejJ/FuZxP8AdYRBRxMYwxaJneWVlamD8H/qkUVNy0lLJ6GnuGBj2\n84/se2cusvIuao1t7fCTK9hZCUnuaZCSYvyffZQHDiDIBCtSZ/bqDMqyq73wJ0G1Aa/GM4Grqxv+\n/v5s27bZKv99H0YD/nSa6GfKO1LVqVO3wjFfXz8UuQoODjrO641m0MSrmenlfx8RDrWx+82OddO2\n8Osb67E9ZJZNvZhxnikHXyEq986DU5uQX5LH2utrmbB3NLV/rMHY3SPYEr3RqiFJVRAECT79BxAc\nsRZe+RlZVhNycr7hzp2aJCWNJSNjAYmJQ4iKqs+dO2GkpLxMcvJo4uO7EBVVn1u3PMnP30RIyH7c\n3CbTzKc118fGMKzODEJC9gAS4uO7odNZ672nFJkNeHFqEaGhVXvgANqravo3GkzTImMdv17UM+f4\nLBOh7U7ObYbJBzNeNYbbL93h7KUjqFTm70OpjCA6+hal9Ur5+voy0/7hEaOY08K6LSsYFQH7hQ/k\nlxfXcm1sFHKhvETLJZ5kxUGrsTN7zSYxVwuXLmDz/WoO29vTsGkTLl92Yft2GYcPS9m0qT3JyU6M\nHHmcIa/HcS3+Ht/N7cz06fvJysqhRf1WhDmHEYJ5seMulfHbps2sP3KckS7uHAurTW9HF6trz712\nnca29kTnRdOC1qiC7ZEmJCAUGr3oqvLgij59K3zmVdkZvJtmXsT2tHciJSWFMKW5Nj6utGqJ4drO\nrtja2zOuXVtKupgXL0EnjuHc9TmkUcbf8CQ3L77KzngoGfFxkZycTGRk7QplcVXBqa8Lygjj5zEU\nG0gcFYMuo1pD/XFRbcCr8czQokVrJBIpkZF1KhwLCAgiMfHpDPjy5Z8xZcp0JJL/x955xzdVf///\neTOapHvvAR20BUrZm7J3kT0UEBmyRBQUt4AMB6IiylRwICAbAUFEQDa0Ze9VoJPu3XQkub8/0iYN\naUvlg9+Pn599PR48HuQ9bm5u0nvuOed1Xsf85+3p6UVSUhK+tn683+YD9g0+yK3xcWzut5NZLd7m\ng+YLKfyqgAWvfELz5i1xdXVlUvOpNH3Y3PyNSuCFgAn82OJnnA67MCJklEmzF9Creu29t5tJB8Yx\n79TsGn8GqzY2uL/ciMJ3u+Dnt4ugoPNYW3dGEJTY24/Ez287oaGJBAaeJjAwmuDg64SGxlO/fhZ1\n6/6OQmH0oJ1V+pSBRKLCy+sbrK27kZAwDrFCKLaiTGvGvfRqQ+i6Eh3Fd4pQ1bdktu0HyET9A9Cp\npBNsvbWJVReX0W1LB27a6g1EsbKI47rLKBQVDXh9bsfGcdbeqK3ew68Xizt9WWXuvRyOSidG1X/e\n8Do/dAUVsy3BwaEIhVJibDWoFs5lT0AQ3bt3Z+nSIqZNU7JokQJvb3j99YmEhX3JkHnf0ce6A/di\ne/Lrr+8gkWxg3z4Luvn1xCvjAP1s7Znk6MqxwAb0iRyI1ZLFUFyMi0zOtz7+vF2sxfrGDWYdO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tNpsw2wI8yurjsyRZrLpozLn39famuLhqUZzq4FNuI6ON13XjjZ/4/f5vxjai1slIWq4w3+x/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\ndGnujqulUY6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HfSlZZaknqY0U93nGJiuZ36ZSdMVcV//jjxeQnJzEkiXLKiV8qlQq/Pzq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\n/DRdAz2GdkEUf+dpw69ajf7V/i8ofOBBlA/mUb66BOs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0y5bU+BxGlYpPEhrxRl42u/pq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\nAdW8/vHwggLqAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7feda8425a10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = df.sort_values(by='pred')\n",
    "plt.rcParams['axes.prop_cycle'] = (\"cycler('color', 'bgrcmykbgrcmyk') +\"\n",
    "                                   \"cycler('lw', [1, 1, 1, 1, 1, 1, 1, 3, 3, 3, 3, 3, 3, 3])\")\n",
    "fig, ax = plt.subplots(figsize=(8,12))\n",
    "for label, dfg in df.groupby('carrier'):\n",
    "    dfg.plot(x='pred', y='dep_delay', ax=ax, label=label)\n",
    "plt.legend();\n",
    "ax.annotate('WN', xy=(0.7, 10), xytext=(0.8, 15), arrowprops=dict(facecolor='black', shrink=0.05));\n",
    "ax.annotate('OO', xy=(0.1, 8), xytext=(0.1, 0), arrowprops=dict(facecolor='black', shrink=0.05));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>origin</th>\n",
       "      <th>dest</th>\n",
       "      <th>num_flights</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ORD</td>\n",
       "      <td>MKE</td>\n",
       "      <td>4527</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>MKE</td>\n",
       "      <td>ORD</td>\n",
       "      <td>4525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LAX</td>\n",
       "      <td>SAN</td>\n",
       "      <td>2755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SAN</td>\n",
       "      <td>LAX</td>\n",
       "      <td>2742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>SFO</td>\n",
       "      <td>ONT</td>\n",
       "      <td>2612</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  origin dest  num_flights\n",
       "0    ORD  MKE         4527\n",
       "1    MKE  ORD         4525\n",
       "2    LAX  SAN         2755\n",
       "3    SAN  LAX         2742\n",
       "4    SFO  ONT         2612"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql = \"\"\"\n",
    "SELECT\n",
    "  origin,\n",
    "  dest,\n",
    "  COUNT(*) as num_flights\n",
    "FROM\n",
    "  flights2016.eval\n",
    "WHERE\n",
    "  carrier = 'OO'\n",
    "GROUP BY\n",
    "  origin,\n",
    "  dest\n",
    "order by num_flights desc limit 10\n",
    "\"\"\"\n",
    "df = bq.Query(sql).execute().result().to_dataframe()\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>times</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[2580, 2820, 2880, 2940, 3180, 89700]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   times\n",
       "0  [2580, 2820, 2880, 2940, 3180, 89700]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql = \"\"\"\n",
    "SELECT\n",
    "  APPROX_QUANTILES(TIMESTAMP_DIFF(CRS_ARR_TIME, CRS_DEP_TIME, SECOND),5) AS times\n",
    "FROM\n",
    "  flights2016.simevents\n",
    "WHERE\n",
    "  carrier = 'OO' and origin = 'ORD' and dest = 'MKE'\n",
    "\"\"\"\n",
    "df2016 = bq.Query(sql).execute().result().to_dataframe()\n",
    "df2016.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>times</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>[2400, 2760, 2880, 3060, 3300, 90240]</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   times\n",
       "0  [2400, 2760, 2880, 3060, 3300, 90240]"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sql = \"\"\"\n",
    "SELECT\n",
    "  APPROX_QUANTILES(TIMESTAMP_DIFF(CRS_ARR_TIME, CRS_DEP_TIME, SECOND),5) AS times\n",
    "FROM\n",
    "  flights.simevents\n",
    "WHERE\n",
    "  carrier = 'OO' and origin = 'ORD' and dest = 'MKE'\n",
    "\"\"\"\n",
    "df2015 = bq.Query(sql).execute().result().to_dataframe()\n",
    "df2015.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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